Statistician Resume Samples

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JD
J Dach
Judy
Dach
967 Mohr Square
New York
NY
+1 (555) 654 4489
967 Mohr Square
New York
NY
Phone
p +1 (555) 654 4489
Experience Experience
Chicago, IL
Statistician
Chicago, IL
Weissnat, Eichmann and Frami
Chicago, IL
Statistician
  • Work with internal and external client teams
  • Influencing clinical development plans, regulatory and commercial strategies
  • Work with senior management to set analytics priorities
  • Writing and implementing computer programs to make statistical calculations necessary for selecting samples
  • Setup and provide findings on retail tests
  • Interpreting results and assisting center researchers in writing papers for publication
  • Mining data to develop and automate dashboards to track protocol efficacy and business performance using SQL and Microsoft reporting services
Chicago, IL
Senior Statistician
Chicago, IL
Wilkinson, Luettgen and Larson
Chicago, IL
Senior Statistician
  • Develop process improvements, share expertise with others and continually strive to improve overall contributions to the department
  • Plans, organizes and manages staff; plans and discusses individual work programmes with staff and evaluates their performance
  • Working knowledge of program evaluation, predictive modeling, data mining, steerage, pharmacy and care management
  • Manages data and data requests to improve the accuracy of our data and decisions made from data analysis
  • Track, analyze and interpret trends in data in order to provide relevant conclusions and recommendations to management
  • Provide statistical consultation and reports for all global development in compliance with current ICH / FDA guidelines and SOPs
  • Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support
present
Boston, MA
Principal Statistician
Boston, MA
Beatty-Hartmann
present
Boston, MA
Principal Statistician
present
  • Identifying, developing and implementing novel statistical methodologies in support of medicines development
  • Planning, coordination, prioritization and implementation of statistical aspects of (1) biomarker-guided clinical development, pharmacogenomics, pharmacokinetics, pharmacodynamics, ECG and dose finding, or (2) clinical development in Phase IIb, III and regulatory submission, or (3) Phase IV, market access strategy, product maintenance and optimization
  • Collaborates with experts within function to integrate statistics objectives into activities associated with development of new/improved products or technology
  • Complexity: Works on increasingly more complex programs after mastering standard ones. Proactively identifies complexity in terms Scientific, Statistical, Health Authority, Operational, and Partnership issues
  • Process: Participates in process improvement or standards development initiatives
  • Work with the clinical teams in designing clinical studies, writing the statistical analysis plans, conducting the statistical analyses, and providing statistical support for the clinical study reports, scientific presentations and manuscripts
  • Representation: Represents Statistics & Decision Sciences for cross-functional and intra-departmental teams or working groups relating to scientific or process initiatives
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Webster University
Bachelor’s Degree in Statistics
Skills Skills
  • Ensure Data Quality and Reliability. Design and implement various Data Quality. Detect and report data anomalies, Recommend data quality solutions
  • Communication: Very good written and verbal communication ability in an educational style. Ability to express thoughts and concepts clearly
  • Detailed knowledge of currently acceptable statistical methodologies
  • Strong knowledge and proficiency in Microsoft Excel and Access
  • Demonstrated problem solving ability and attention to detail
  • Strong collaborative skills and ability to work with a cross-functional team
  • Be proficient with SAS; knowledge of other programming languages is a plus (R, Sequel)
  • Extensive knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines
  • Strong presentation and communication skills and ability to engage non-technical audiences
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15 Statistician resume templates

1

Lead Statistician of Marketing Analytics Resume Examples & Samples

  • At the minimum must have a Bachelor's degree preferably within a quantitative discipline
  • Must have 5+ years of marketing analytics experience using SAS, R, and SQL
  • Proficiency pulling/manipulating/analyzing large datasets and generating strategic insights utilizing SQL is an absolute MUST
  • Experience performing advanced statistical analytics and building predictive models utilizing SAS and R is a MUST
  • Exposure to digital channel analytics (knowledge of A/B testing, personalization, optimization, etc.) is a PLUS
  • Knowledge of Tableau and Omniture is preferred
  • Must have passion for news, video, social networking, advertising, and digital entertainment industry
  • Strong communication skills Full Time/Individual contributor role Will help w/ Relocation H1 Visa OK Recruiter: Sunil Sud
2

Senior Modeling Analyst / Statistician Resume Examples & Samples

  • Master's or PhD in a quantitative field: Statistics, Applied Mathematics, Econometrics, Biostatistics, Operations Research, Computing and Information Theory, Industrial / Electrical Engineering, or Physics
  • Practical expertise in standard analytical methods: generalized linear models, non-linear methods, time series, conditional likelihood methods, adaptive modeling techniques, and decision theoretic / optimization methods. Experience in spatial statistics is also desired
  • Proficiency in data interpolation and heterogeneous data management
  • Expertise in building customized code in SAS, SQL, or S-Plus
  • SAS Base Certification (if not present, certification will be required within 90 days after hire), with expectation to obtain additional certification levels
  • Familiarity in enterprise data systems and databases such as Oracle and DB2
  • Projects are 'hands-on' where employee will own the entire engagement: consultation, model development, and results presentation
  • Strong oral and interpersonal skills
3

Statistician to Director of Analytics Resume Examples & Samples

  • Customer profiling, segmentation, and other customer classification analysis
  • Value scoring and predictive modeling
  • Marketing effectiveness analysis and optimization solutions
  • Design, manage, and deliver client analyses, such as customer profiling, segmentation studies, post-program measurement, and other ad-hoc projects
  • Project management responsibilities, including client communication, internal team management, keeping projects on track, and the packaging and presentation of deliverables
  • Collaborate with client and internal consulting teams to identify analytic approach and objectives
  • Develop analytic plans (including sampling plans and programming specs)
  • Evaluate the productivity and profitability of marketing campaigns and identify opportunities for improvement
  • Identify statistically significant changes in audience behavior
4

Statistician Resume Examples & Samples

  • Identify and recommend appropriate analytic solutions to meet client business needs
  • Build predictive models to help support our clients in the areas of customer marketing and/or demand generation initiatives, using a broad array of statistical techniques
  • Work with internal and external client teams
5

Data Scientist / Statistician Resume Examples & Samples

  • 2 or more years working in a professional analytics environment
  • Undergraduate degree in a quantitative discipline (e.g. Math, Economics, Finance, Statistics, or Industrial Psychology) Masters degree in statistics preferred
  • Skilled in data preparation and data quality management for analysis
  • Advanced experience in SPSS or equivalent statistical package. R preferred
  • Experience in social science research methodologies
  • Strong critical thinking & analysis skills
  • Advanced Microsoft Excel skills (ex. arrays, macros, vlookup)
  • Understanding of survey construction and sentiment analysis
  • Ability to tell a story through data and statistics
  • Willingness to partner with teams across the world to complete a project
  • Ability to work independently, anticipate needs, exercise judgment, and to dig into details to ensure quality work
6

AML Senior Optimization Statistician Resume Examples & Samples

  • Knowledge of the local/regional laws and regulations applicable to anti-money laundering is a plus
  • Self-motivated with the ability and maturity to make decisions in the absence of detailed instructions
  • Methodical analysis and problem-solving skills Initiative, creativity and attention to detail are essential
  • Able to coordinate and deal with various level and conflicting time demands
  • Master degree in statistics/mathematics/technical science
7

AML Optimization Statistician Resume Examples & Samples

  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers. Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
  • Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions and status quo. Escalate identified risks and sensitive areas in terms of methodology and processes
  • Coach and supervise juniors, give directions, ensure the quality of analysis and work done and raise the standard of juniors to the next level of excellence and maturity
  • Required experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses
  • Minimum 2-3 years of relevant experience in large, complex environments Mantas, AML monitoring systems and Spotfire experience a plus
8

Statistician / Quantitative Analyst Resume Examples & Samples

  • MS or Ph.D. in statistics, econometrics, economics or related quantitative field
  • Experience or strong training in statistical methodology such as linear regression, logistic regression, time series analysis, diagnosis test, goodness of fitness, sensitivity analysis and stress test
  • Strong programming skills in SAS or other statistical packages such as R or MatLab
  • Team work and commitment, strong communication skills are desired
9

Statistician Resume Examples & Samples

  • Lead statistical analysis of Nordstrom Rewards/Customer Loyalty Initiatives and provide ongoing/timely analysis of testing projects in both online and offline environments
  • Be accountable for projects that are part of large key business initiatives like Nordstrom Rewards and Customer Loyalty/Engagement
  • Evaluate the impact of marketing programs and events, e.g., Nordstrom Rewards, Double Points Personalized offers, using advanced statistical methodologies and shape analyses into actionable business recommendations
  • Develop automated programs for producing reports of the impact of the above marketing programs and events
  • Produce Teradata tables using sql for consumption by Tableau
10

Manager Statistician\econometrician Resume Examples & Samples

  • Prepare and present reports to support these analyses and solutions
  • Build and review complex quantitative models
  • Manage own time to budgets and communicate progress against plan to assignment manager
  • Work with large, complex data sets, solve difficult, non-routine problems
  • Good knowledge of the application of econometrics techniques for the elasticity of demand estimation and pricing
  • Good knowledge of Macro-econometric techniques: time series analysis, ARDL models, VAR and SVAR
  • SAS, SPSS, R, Matlab, Python. Knowledge of SQL, .net is a plus
11

AML Optimization Statistician Resume Examples & Samples

  • Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs
  • Must have: Statistical/data analytical skills - including both calculation and interpretation of outcome
  • Ability to work under close supervision of a functional team manager, while preserving independence of thinking and responsibility for the results
  • Ability to discuss reasoning, critical assessment of facts and opinions; ability of giving comprehensive answers and arguments
  • Master's degree in statistics/mathematics/technical science and 2+ years of relevant experience
12

AML Optimization Statistician Resume Examples & Samples

  • Prepare informative, high quality, attractive presentations, reports and documents based on results of analyses and recommendations made by statisticians
  • Create templates for reports, assuring consistency of documentation layout and language across deliverables
  • Cooperate closely with peers across regions to maintain global consistency and drive development of new presentation styles, layouts and techniques
  • Prepare texts written in English including formal documentation and presentations with appropriate language and style
13

Data Intelligence Mis-statistician Resume Examples & Samples

  • Strong working experience in Statistics
  • Minimum of a bachelor’s degree or equivalent is required
  • Minimum 5 years of relevant experience
  • Attention to details is a must
  • Experienced with MIS and data interpretation
  • Compliance/AML knowledge would be a plus
  • Proficient in PC desktop software with emphasis on MS Office products
  • Have experience in SAS
14

Lead Statistician Resume Examples & Samples

  • Drives the research and recommended solutions to complex business issues makes recommendations on model inputs and end products. Serves as a subject matter expert on predictive models within own group and with business users consults with the business, as appropriate, on predictive modeling solutions
  • Develop, implement and manage holistic strategies for modeling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting), in collaboration with Risk Modeling Leader
  • Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and lead development of predictive models
  • Establish and maintain strong relationships with key business stakeholders
  • Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects. Drive timely retrieval of risk analytics data from existing system to create algorithms that meet business needs
  • Collaborate with Underwriting, Actuarial, and Underwriting Services to define projects
  • Experience working with very large datasets
  • Background and experience in consumer or commercial risk models
  • Ability to communicate effectively and influence others Recruiter: Ilana Raz
15

Statistician Resume Examples & Samples

  • Work with the Business Analytics team to build quantitative models for Assurance Services. Scope includes data preparation, data profiling, building models, writing white papers, visualization and presenting to the business audience the practical implications of the results
  • Build predictive models using statistical and data mining methods in the areas of audit risk, staffing needs for engagements, monitoring, and other areas; principal investigator on other analytics projects
  • Translate the results of the quantitative models into practical business implications
  • Ability to think outside of the box and to learn new approaches to modeling business problems with a focus on the practical application of the results
  • Develop and propose new analytics ideas about our markets, services, competitors and regulatory environment. Your recommendations should advance thinking on critical issues, and ultimately impact firm strategy
  • Using sound partnering and negotiating skills, build relationships to promote analytics to key potential project sponsors. This should drive the use of analytics on engagements
  • Conduct high quality analytics work with the Business Analytics team. This will include developing leading practices for all phases of the analytics development cycle
  • Establish leading practices for key analytical processes, including model development, visualization, and implementation, to enhance the performance of the organization
  • Work with senior management to set analytics priorities
  • Communicate progress, barriers, risks and benefits to clients, to achieve project success
  • Network with other key leaders in Core Business Services (CBS) groups, where these leaders will team on analytics projects (e.g., Finance, Markets, People, Quality and Risk Management, Global)
  • Gain a broad understanding of business fundamentals, and of the organization, both globally and in the Americas
  • A doctorate degree in statistics; strong education and empirical research backgrounds, experience with data mining and machine learning methods preferred
  • Applicable experience working with data and building empirical models
  • Be proficient with SAS; knowledge of other programming languages is a plus (R, Sequel)
  • A proven record of independently conducting empirical research projects with heavy data emphasis
  • Ability to be a thought leader in applying modeling techniques to real business issues facing Ernst & Young
  • Ability to understand key capital market and economic issues, as well as other business trends that could impact the firm
  • Awareness of threats and opportunities facing the profession and the firm
  • Comfortable in a rapidly changing environment, with competing and shifting priorities
  • Competent at presenting analytical content to firm leaders; strong communicative skills
  • Strong project management skills and experience
  • Ability to partner with other departments or with Area leaders
16

Lead Statistician Resume Examples & Samples

  • 5+ years of relevant experience including proven competence in managing the delivery of multiple projects simultaneously through full statistical study life-cycle, including experience handling customer negotiations or equivalent combination of education, training and experience
  • Bachelor's Degree, or educational equivalence, in Clinical, Biological or Mathematical Sciences, or related field
  • Computer skills include: SAS (Windows and UNIX), Word, Excel, PowerPoint, SPSS, STATA, and Basics of S-Plus
  • Experience in Phase I,II, III Trails
  • Previous experience and proven competence in managing study delivery through full statistical life-cycle
  • Thorough knowledge of the statistical process
  • Knowledge of operating procedures and work instructions and the ability to apply them in practice
  • Knowledge of Good Clinical Practices and applicable regulatory guidelines
  • Knowledge of ICH - GCP guidelines and its principles
  • Detailed understanding of E-3, E-6 and E-9
  • Excellent communication, interpersonal, customer service, and teamwork skills
  • Excellent organizational and problem-solving skills
  • Comprehensive understanding of clinical drug development process
  • Ability to establish and maintain effective working relationships with coworkers, managers and customers
17

AML Analytics Statistician Resume Examples & Samples

  • Designs, conducts testing and retains evidence of testing results of the Bank’s BSA Compliance Program automated transaction monitoring application using statistical modeling and re-performance techniques, to confirm the application’s proper functioning including data feeds, data quality and monthly batch process replication
  • Evaluate proposed changes to enhance the ongoing effectiveness of the automated AML transaction monitoring application to ensure that it meets regulatory expectations and best-in-class IT, efficiency and effectiveness practices
  • Provide recommendations to management identifying enhancements to automated transaction monitoring detection scenarios
  • Coordinate required documentation to support decisions made relating to the development, testing and implementation of application changes
  • Ensure documentation and testing meets the Bank’s Testing Center of Excellence Community of Practice (COP), model governance and change management standards
  • Work with business partners to ensure data sources are accurate and efficient
  • Stay current with industry trends in AML analytic techniques
  • LI-JB1
  • Advanced degree (e.g., Master’s or PhD in statistical-based modeling) preferred. Statistics, mathmematics, quantitative analysis, economics or related field required
  • Experience with advanced statistical modeling tools such as SAS or similar testing methods
  • Experience performing various testing techniques and creating data sets to test monitoring applications
  • Some experience with and general working knowledge of systems and applications
  • Prior IT / Audit experience testing systems beneficial
  • 3+ years experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc). A plus related to BSA/AML and fraud in the banking industry
  • 3+ years experience accessing and analyzing large volumes of data using SQL, SAS, SAS Enterprise Guide, and SAS EMiner,
  • Other Technical Skills Preferred: Advanced or working knowledge in programming (MS SQL and Access, ASP.NET, C#, Visual Basic, HTML, JavaScript), database design, and business applications (MS Office suite, MS Project, MS Visio) a plus
  • Bachelor’s degree in statistics, mathematics, quantitative analysis, economics or related field is required. Advanced degree preferred
18

Statistician Resume Examples & Samples

  • 5+ years of experience as a subject-matter expert using statistical methods to collect, analyze, interpret, and present quantitative information in an understandable manner and relate that data to strategy development by providing recommendations to dynamic problem sets related to the military decision making process
  • 5+ years of experience with conducting military operations research
  • 5+ years of experience with conducting military operational planning and exercise development on a joint or combined staff
  • Knowledge of U.S. current military operations, readiness, and deployment routines covering air, space, ground, special operations, and maritime domains
  • Experience as an actuary or with data analytics
  • Ability to improve and automate data development, ingestion, and validation
  • BS degree in Statistics, Mathematics, Engineering, Economics, Operations Research, Physics or Chemistry preferred; MS degree in Operations Research or a similar scientific, technical, engineering, or mathematical field a plus
19

Statistician Resume Examples & Samples

  • Experience with hands on SAS programming in a clinical trials environment (CRO/Pharma)
  • Must be able to QC datasets and tables and program tables and spec datasets
  • Master’s degree/Ph.D. in Statistics/Biostatistics or equivalent required; 2-4 years clinical data experience
  • High degree of accuracy and attention to detail along with proficiency in SAS and ability to program using SAS macro language required
  • Proficiency in statistical procedures including non-parametric analysis, linear and non-linear models, categorical data and survival analysis techniques is also required along with excellent project management and organizational skills
20

Statistician / Data Analyst Resume Examples & Samples

  • Undergraduate degree in, economics, public policy, statistics, political science, or other relevant field
  • Advanced skills in using common quantitative and/or qualitative data analysis software such as SPSS-X2, Stata, ATLAS-ti, and NVivo
  • Excellent analytical skills and fluency in English
21

Statistician Resume Examples & Samples

  • Develop risk, profitability, fraud and targeting models used to support rapid growth across multiple channels (in-store, mail, mobile and/or web)
  • Discover insights from a myriad of data sources to understand and influence consumer financial behavior. Develop new complex attributes to be used to build next generation of predictive models by combining machine learning and business acumen
  • Drive business strategy and company growth rates by leveraging advanced analytics. Recommend analytic solutions to increase marketable universe and identify profitable prospects
  • Design and build fraud analytics infrastructure for managing fraud for online/mobile channel
  • Support direct marketing program for consumers that lack a traditional bureau score
  • Communicate and partner with third party data vendors
22

Senior Statistician Resume Examples & Samples

  • Work with internal business owners and external partners to understand business requirements and strategy for Kelley Blue Book in international market (China)
  • Developing advanced statistical models utilizing typical and atypical methodologies based on data available from China
  • Developing and updating data models for statistical modeling purposes, tracking results against forecasts, and re-specifying when required
  • Tracks, analyzes and interprets trends in data in order to provide relevant conclusions and recommendations to management
  • Frequent overnight travel (up to 40%) by land and/or air
  • Performs other related duties as assigned
  • Must have at least four years of experience performing advanced quantitative analyses
  • Fluent in Chinese (Mandarin)
  • Ability to manipulate, analyze, and interpret terabytes of data. Ability to organize findings and translate into actionable insights using original or innovative techniques or style
  • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, ARIMA, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis
  • Master's degree (M. A.) in Quantitative discipline (e.g. Math, Statistics, Economics, Bio-Statistics) and four to ten years related experience and/or training; or equivalent combination of education and experience
  • Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.)
  • Intermediate to advanced experience in Statistical Software (e.g. SAS, SPSS) and database applications
  • Working knowledge of SAS required
  • Must have relational database experience
  • Intermediate to advanced experience in Excel
  • Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write speeches and articles for publication that conforms to prescribed style and format. Ability to effectively present information to top management, public groups, and/or boards of directors
  • Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory. Ability to work with concepts such as limits, rings, quadratic and differential equations, and proofs of theorems
  • Ability to define problems, collects data, establishes facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables
  • Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables
  • Post Doctorate Degree (PhD) preferred
  • Prior experience modeling automotive data preferred
23

Statistician Resume Examples & Samples

  • PhD preferred) in Statistics, Mathematics, Operations Research or Economics/Econometrics
  • SAS proficiency
  • SQL programming
24

Marketing Statistician Resume Examples & Samples

  • 3 years+ experience (required) querying large scale relational database such as MS SQL Server, Teradata, Oracle, etc
  • 5 years+ experience (required) building models via SAS or SPSS on large relational databases including customer transactional, demographic, web analytics, and behavioral data attributes
  • Substantial experience in data mining, response modeling, cluster analysis, analytic segmentation, response analysis, web analytics, ROI analysis, etc
  • 3 years+ working for a direct retailer or similar business preferred
  • Experience designing and analyzing A/B test experiments to measure model performance, back-tests, model optimization, etc. in the pursuit of marketing campaign effectiveness
25

Statistician Resume Examples & Samples

  • MS + 2 to 5 years clinical trial experience
  • Clinical trial experience from Pharma/CRO, late phase experience is a plus
  • Antibiotics therapeutic area is preferred but not required
  • Submission experience is preferred but not required in depth statistical knowledge on study design, statistical analysis, adaptive trials and Bayesian approach
  • Advanced programming skill in SAS is a must
  • R is a plus
  • Comfortable with simulation studies
26

Statistician Resume Examples & Samples

  • Sample size and power determination
  • Will have statistical responsibility in the development of manuscripts
  • Assist the faculty members with interpretation of statistical findings
  • Assists in data management and statistical analysis for complex research projects including integration of the proposed laboratory results with existing laboratory and clinical data
  • Development of data sets containing all variables relevant to answering specific scientific questions for manuscript preparation
  • Performs other related duties as assigned or requested. The University of Southern California reserves the right to add or change duties at any time
27

Statistician Resume Examples & Samples

  • Credit risk assessment at loan origination
  • Behavioral risk assessment to inform collections strategies
  • Risk models to support wholesale lending
  • Fraud identification
  • Portfolio level forecasts of credit losses,
  • Residual value forecasts of lease vehicles,
  • Staffing models to forecast and optimize workload,
  • Models to evaluate and optimize marketing programs,
  • Demand models to support price and market share optimization
  • Counterparty risk assessment to support treasury functions
  • Portfolio stress testing
  • Developing metrics and reports to monitor model accuracy and evaluate performance
  • Preparing analysis to back-test and compare competing models and methodologies
  • Developing and executing models to support business questions
  • Maintaining and enhancing operational models through their lifecycle
  • Work with data sources on multiple platforms (PC, Mainframe, Unix/Linux, and Teradata)
  • Execute both descriptive and inferential analyses in a timely manner
  • Effectively communicate and present technical material to a broad audience
28

Statistician for Global Statistics Resume Examples & Samples

  • Master’s degree with 2+ years of experience in an analytics role; or Ph.D. in Statistics, Mathematics, Engineering or related discipline
  • Proficiency in one or more major statistical software packages (e.g., SAS, R, MINITAB, JMP)
  • Knowledge of FDA/EMEA and other global regulatory compliance guidelines for drug manufacturing, packaging and distribution
  • Knowledge of Quality Assurance principles including cGMP documentation practices, policies and procedures, and quality systems
29

Mys Ctsm Kl Anti Money Laundering Optimization Statistician Resume Examples & Samples

  • Apply qualitative and quantitative data analysis methods
  • Apply rigorous statistical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
  • Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
  • Drive quality, reliability and usability of all work products
  • Evaluate and refine the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency and accuracy
  • Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data
  • Identify relationships and trends in data, as well as any factors that could affect the results of research
  • Escalate identified risks and sensitive areas in terms of methodology and processes
  • Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations
  • Minimum of 2-3 years of experience with statistical software packages such as SAS, SPSS, etc
  • High proficiency in MS Office, especially MS Excel
30

Senior Statistician Resume Examples & Samples

  • 3-5 years of hands-on statistical modeling experience
  • Minimum of a Bachelor’s degree in Statistics, Finance, Marketing, Business Administration, or related. Master’s degree in Statistics, Applied Mathematics or related or MBA preferred. The equivalent combination of education, training and work experience may be suitable
  • Expert at a variety of analytical techniques that must include some of the following: multivariate regression models, cluster analysis, predictive modeling, other advanced methods
  • Experience in direct marketing analytics preferred
  • Expert proficiency in SQL
  • Experience with an analytics tool a must (SAS, SPSS, R etc.) SAS preferred
  • Comprehensive understanding of marketing metrics, including digital and emerging media
  • Experience working with large datasets including multi-channel, multi-brand, multi-product environments. Retail and ecommerce experience preferred
  • Track record of success in providing analysis, strategic direction, and specific business recommendations to senior management on critical decisions
  • Strong analytical, project management, and communications skills
31

Analyst / Statistician for Sanctions Resume Examples & Samples

  • Participate in the Sanctions Optimization project to execute the analysis and validation of the text matching solutions as required by methodology. Validate data, identify data quality issues (if any) and address them. Apply rigorous statistical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
  • Work with IT/Technology to identify the data sources / systems, build accesses and connectivity to import and extract data. Drive quality, reliability and timeliness of the imported data. Check for any data qualities issues (if any), address them with IT/Technology and/or Operations
  • Use visualization techniques to display data and the results of analysis in clear and straightforward presentations that can be understood by a non-technical audience
  • Cooperate and work with the team of Sanctions Optimization Analysts and AML Optimization Statisticians to analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs
  • Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical/technical vocabulary
  • Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Sanctions Screening and text matching applications
32

Compliance Statistician Resume Examples & Samples

  • Assist with the preparation for fair lending statistical analyses, including
  • Researching and understanding
  • 2+ years prior experience in banking or financial institution in an analytical role (4+ years preferred)
  • 2+ years of experience using SAS preferably in a banking or financial institution (4+ years preferred)
  • Strong SAS programing skills
  • Excellent skills creating reports and analyzing data with SAS
  • Experience with UNIX or Linux is highly desired
  • Creativity, curiosity, and the desire to innovate; the ability to self-start is highly desired
  • Ability to self-motivate and a desire to work independently in a relatively unstructured environment
  • Strong data collection, research and quantitative skills
  • Ability to summarize complex information into simple to understand information
  • Effective verbal and written communication skills
  • Knowledge of fair and responsible banking is desirable
  • Knowledge of the banking and financial services industries
  • Exceptional MS Excel, PowerPoint and Word skills; experience with other data analysis tools is a plus
33

Clinical Statistician Resume Examples & Samples

  • Master’s degree or higher in Statistics or Biostatistics
  • Proficiency in BASE SAS and SAS/STAT programming
  • Experience with Phase 1 and/or clinical pharmacology studies preferred
  • Experience with working under UNIX environment preferred
34

Statistician / Data Analyst Resume Examples & Samples

  • Create advanced statistical models and data designing analytical models and data driven assets
  • Calculate and compile monthly Key Performance Indicators
  • Manage and manipulate large and complex data sets
  • Develop scenarios, what-if and root cause analysis for demand and supply balance
  • Monitor inventory performance, highlight trends and analyze anomalies to identify root causation
  • Create advanced analytical models and make recommendations to streamline inventory control process and analyze data to feed management decisions on inventory control policies and procedures
  • Identify impact and opportunities to reuse data structures and data bases
  • Ability to work collaboratively with offshore development teams and provide guidance to ensure quality deliverables
  • Perform Ad-Hoc projects as required
  • Bachelor’s statistical/mathematical degree required; Advanced degree in business, quantitative analysis, statistics, or equivalent preferred
  • 2-5 years of related experience in a regulated industry, supply chain / international logistics
  • Familiar with financial analysis related to inventory management
  • Statistical programming R/SAS/SPSS/STATISTICA; knowledge of RDBMS languages such as SQL
  • Experience in data extraction, manipulation and reporting capabilities
  • Proficiency in Microsoft Excel and Microsoft Access required; SAP experience preferred
  • Must be able to communicate at all levels within the organization both orally and written and work within a team
35

Statistician Manager Resume Examples & Samples

  • Provides technical expertise in designing and implementing tuning and data analytics for BSA/AML and Sanctions data of the Group
  • Develops and implements reports and assists in delivery regarding data analytics results
  • Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to apply to BSA/AML and Sanctions data
  • Establishes tools/models to analyze and predict patterns and/or relations in business data
  • Collaborates with corporate Model Development and Model Governance professionals to create leading edge BSA/AML models for the Bank’s multiple BSA/AML and Sanctions systems
  • Actively participates in projects and performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns
  • Designs experiments and methodologies to generate and collect data for BSA/AML and Sanctions use
  • Creates and manages ongoing assessments, tuning, decommissioning, and change management of AML/CTF detection scenarios
  • LI-JB1
  • 10-15 years of functional/professional experience
  • 2 years of supervisory or managerial experience
  • BSA/AML and Sanctions-related technology including suspicious activity monitoring, alert and case workflow processing, Sanctions and Watchlist filtering, program governance, MIS and model validation
  • Thorough knowledge of the Bank Secrecy Act and Anti-Money Laundering Act
  • Demonstrated experience in implementing leading business practices
  • Experience as senior financial institution model validation regulation desirable
  • Analytical and research
  • Bank product and service knowledge
  • Coordinate meetings
  • Demonstrated supervisory skills
  • Planning and organizing
  • Presentation skills
  • Written and verbal communication
36

HR Predictive Modeler / Statistician Resume Examples & Samples

  • Master’s degree required in Statistics or relatable Mathematical discipline
  • 3-5+ years experience conducting applied statistical analyses; ideally in the fields of data mining and modeling in the context of Human Resources data and business metrics
  • Experience with linking various datasets/sources of data a must (i.e., internal talent/people metrics, business outcomes and external customer/client metrics) and modeling the relationships among various variables to understand the causal relationships critical)
  • Develops, maintains and refreshes models and analyses
  • Contributes to the design of research projects applying valid scientific techniques to data analysis
  • Extensive experience working with large and complex data sets and a variety of data types; demonstrates and understanding of data management and impact of data quality and integrity on analyses; provides guidance and advice on handling missing data and multivariate outliers and anomalies in datasets
  • Is able to argue pros and cons of various statistical approaches to answering research questions
  • Must demonstrate mastery in executing and interpreting Univariate, Multivariate, Bayesian statistics and other predictive algorithms
  • Expert proficiency in Excel, SPSS Advanced Statistics and Modeler or SAS
  • Excellent communication skills, written and verbal including the ability to summarize and translate technical output to business stakeholders
37

Global Methodologies & Re-engineering Statistician Director AML Optimization Team Resume Examples & Samples

  • Define and execute the strategic direction with respect to the statistical methodology and maintain global consistency across the six regions. Scope of responsibility covers the analyses performed by the global team focused on Optimization, Segmentation, Alert Risk Scoring, Case Risk Scoring, Tactical Tuning and all other data modeling/validation efforts depending on current needs and project plans
  • Have global responsibility for Optimization’s role in AML re-engineering initiatives. This will include thought leadership around volume optimization and re-engineering opportunities; taking a leading role in the appropriate forum(s)/committee(s) to determine project prioritizations and lead the Optimization Team analyses and recommendations
  • Manage the day to day relationship with Internal Audit and the Internal Model Validation team and take a lead role in discussing Optimization’s methodology and deliverables during reviews and exams
  • 10+ years of management experience with data analysis, statistical tools and financial data modeling. Strong background in statistical techniques (especially discriminant analysis, regression, decision trees) and methodology (sampling approaches), financial modeling of capital markets, and/or regulatory/risk analyses is advantageous. Experience with relational databases (especially Oracle) and SAS software is highly desirable
  • Minimum 10 years of relevant experience in large, complex environments, including strong statistical/data analytical skills, including data quality validation, descriptive statistics and predictive modeling experience
  • Minimum 5 years of experience managing team of highly technical specialists with statistical software packages such as SAS, SPSS and SQL, other standard database query tools and related applications
  • Minimum 5 years of experience managing in a matrix environment and managing resource assignment to significantly reduce task-switching
  • Minimum 5 years of experience in successfully implementing projects in the financial services industry, preferably with Operations experience
  • Minimum 5 years of experience in working across technology, compliance and business lines and managing inter-dependencies between different stakeholders
  • Minimum of 5 years of experience with statistical software packages such as SAS, SPSS, etc
  • Retail banking, small business banking, commercial, institutional, private banking is preferred
  • Demonstrates a strong understanding and application of analytical techniques including statistical sampling or predictive modeling experience
  • Methodical analysis and problem-solving skills including the ability to translate complex statistical approaches and resultant data sets into actionable recommendations and decision making artifacts
  • Proven ability to build exceptional teams, work well with a variety of people and be flexible in taking on different roles/responsibilities as projects change
  • Demonstrated ability to effectively communicate (both written and verbally) through all levels of the organization including the ability to translate technological concepts into easily understood presentations and provide management and senior management with clear and accurate understanding of opportunities, options, risks and impacts in all aspects of decision making regarding AML systems
  • Ability to analyze and address end-to-end business processes to facilitate transformation projects that improve customer and shareholder value
  • Proven ability to drive results and manage to changing priorities including the capability to plan for the unpredictable, evaluate risks and articulate control plans
  • Mature and self-motivated with the ability to make decisions independently, in the absence of detailed instructions and to set priorities as needed
  • Ability to work non-standard business hours, including weekends and holidays as determined by the business needs
  • Master degree in statistics/mathematics/technical science, PhD highly preferred
38

Statistician Resume Examples & Samples

  • Apply leading-edge technologies and advanced analytical tools to analyze web/mobile/social media data together with internal customer and transaction data to improve performance and efficiency in business decision-making
  • Develop predictive/statistical models. The incumbent delivers best-in-class models that improve targeting for acquisition, cross-sell, up-sell and retention activities. This involves working with various lines of business, understand their problems and needs and developing data-driven solutions
  • Present and interpret models to business partners and recommend how to apply them for actual targeting and marketing
  • Conduct model tracking and validation to suggest appropriate course of action to maintain model performance
  • Provide decision support, data mining service, and consultation to help retail banking achieve business objectives
  • Prepare detailed model documentations for sign-off, implementation and promoting models into monthly production
  • Excellent quantitative analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of the work plan, analysis, validation, interpretation and presentation of findings
  • Advanced skills in SAS, R, Python, big data
  • Strong theoretical knowledge and practical understanding of statistical analysis and data mining techniques
  • Strong knowledge of numerical optimization techniques
  • Strong SAS, SQL programming skills (including SAS Macro Programming, and knowledge of MS-Office products (Word, Excel, Powerpoint and Access)
  • Experience on web/digital/mobile analytics, social media and sentiment analysis
  • Strong verbal and written communication skills, being able to effectively communicate statistical/optimization concepts and how they can be utilized to business partners
  • Strong knowledge financial services products and features, especially credit cards, day-to-day banking and other loan products
39

Econometrician / Statistician / Quants Resume Examples & Samples

  • Builds relationships with clients and EY teams that reflect credibly on the V&BM team
  • Deals confidently with partners and client staff and builds credibility for the firm
  • Responds quickly to client requests for information or guidance
  • Recognises opportunities to contribute to client issues when they arise and assists in providing solutions
  • Contributes pro-actively to building team spirit
  • Strong background in statistics, inference and sampling and wider econometrics techniques
  • Good knowledge of Micro-econometric techniques: panel data, and limited dependent variable models (Logit, Probit and Tobit models), as well as standard cross section techniques
  • Experience in data mining techniques applied to large dataset (e.g. machine learning techniques)
40

Recurring Remote Talent Statistician Resume Examples & Samples

  • Research and understand the storylines and statistics of each team
  • Confirm Starting lineups, officials and any other pregame information needs of the production crew
  • Help answer questions regarding live/recent plays
  • Identify trends and statistics that help tell the story of the game
  • Communicate stats and trends to announcers effectively without interrupting or intruding on their flow of the game
  • Concisely communicate stats and trends to Graphics Producers over headset
  • When they are available, work with teams’ SID/PR people to get information or questions answered
  • Superior knowledge of sports history, rules, procedures, statistics and terminology
  • Strong communication skills (in person and over headset)
  • Professional demeanor (representing ESPN in public, courtside or in broadcast booth)
  • 2 or more years working with statistics on a sports broadcast (As a Talent/Official Statistician or as a Graphics Producer)
  • High School Diploma or equivalent
41

Econometrician / Statistician / Quants Resume Examples & Samples

  • Provide quantitative analysis solutions to clients
  • Build and review complex econometric/statistics and, more in general, quantitative models
  • Manage own time to budgets and communicate progress against plan to senior management
  • Suitable applicants will have an MSc/MPhil/PhD in Economics/Statistics or a similar numerate discipline with a clear Econometrics focus
  • A minimum of 3 years working experience in applying statistical, econometrics and numerical techniques to solve business problems. Experience in consultancy is a plus
  • They will need to be an independent worker with good experience in using any of the following statistical packages: R, SPSS, SAS, E-Views or Gretl. Experience with either VBA, MATLAB and/or SQL is highly desirable
  • The consultant will be able to deliver to demanding deadlines, be a team worker and possess good communication skills, with the ability to communicate complex models and concepts to less technical personnel
  • Strong background in statistics/econometrics and application of these techniques in more than one of the following fields: quantitative economics, retail analytics, supply and demand estimation, policy evaluation and macroeconomic forecasting
  • Experience with large, complex data sets; having solved difficult, non-routine econometric modelling problems
  • Knowledge of wider micro-econometric techniques and their practical applications: panel data and limited dependent variable models (Logit, Probit and Tobit models), as well as standard cross section techniques
  • Good knowledge of macro-econometric techniques and their practical applications: ARIMAX, VAR, SVAR and VECM models. Familiarity with general equilibrium (either CGE or DSGE) models would be a plus
  • Knowledge of data mining techniques applied to large dataset
42

Statistician Resume Examples & Samples

  • Performs data analysis using statistical methods. Reviews results for anomalies, investigates to determine cause, and makes corrections if necessary. Assists in interpretation of results and prepares tables or graphs for inclusion in reports and research papers
  • Assists in preparation of technical reports and papers on the research project’s statistical methods and results. Assists Principal Investigators in writing scholarly empirical papers for publication and presentation
  • Evaluates, recommends and implements procedures for data management and quality control. Develops input methodology and data file structure. Oversees data entry and maintenance of data files, including backups and hard copies
  • Provides guidance to data entry staff, as assigned. Schedules, assigns, and prioritizes workloads. Sets appropriate deadlines. Monitors employee performance on day-to-day basis. Ensures timely completion of work
  • Installs, tests, modifies and maintains computer programs for statistical analysis as needed. Oversees maintenance of computer hardware
43

Statistician Resume Examples & Samples

  • Conducting statistical data analysis on research datasets in SAS, and other statistical software, such as Mplus or EQS, for structural equation modeling and growth mixture modeling
  • Participating in design, sampling, and development of research plans and measurement instruments
  • Interpreting results and assisting center researchers in writing papers for publication
  • Integrating and managing research data from multiple sources and across projects; and
  • Participating in annual reports, and presentations
44

Statistician Resume Examples & Samples

  • Ph.D. or soon to be Ph.D. in statistics, sociology, psychology, survey methodology, or related field
  • Strong interest in all aspects of statistical methods as applied to survey sampling
  • Knowledge of survey sampling methodology
  • Proven ability to analyze data using SAS, STATA, SPSS, and/or R
  • Team player with the ability to work in a fast-paced environment
45

Statistician Resume Examples & Samples

  • Work under the supervision of the Project Director as the lead of the data team
  • Designing data collection instruments and protocols, creating datasets, and managing, processing, and analyzing data from epidemiological surveys that assess behavioral risk in youth
  • Designing, creating and managing multiple databases containing various program data, including survey data, intervention data, participant data, and implementation progress data
  • Performing advanced statistical analyses on program, survey, and epidemiologic data to assist in program tracking, and to interpret and disseminate findings
  • Preparing detailed statistical reports and interpretation of findings regarding the analysis of survey data and the effect of interventions on adolescent sexual health outcomes
  • Designing and generating program implementation and data collection status reports on a weekly and as-needed basis
  • Leading and preparing for multiple weekly meetings/workgroups where data and analysis-related topics will be discussed and data team assignments will be tracked
  • Overseeing the data team’s work products, including database creation, management, analysis, and reporting
  • Responding to requests for program-related data and statistics
  • Oversee the preparation and maintenance of survey tools during data collection
  • Managing and assisting in survey and performance measure data collection
  • Performing literature reviews on adolescent sexual and reproductive health and environmental data to assist in data analysis and grant proposal preparation
  • Disseminating program data summaries and outcome analysis results in presentations within the community and in professional settings, such as scientific conferences and workshops
  • Participating in the preparation of grant proposals by analyzing geographic areas and school demographics, along with teenage birth and STD rates within Los Angeles County to identify patterns related to geographic areas of disproportionate risk
  • Provide updated reports to Project Director and technical support to the data team
  • Collaborate with staff on project assignments
  • Other duties as deemed necessary
46

Ultimate Hoops Statistician Resume Examples & Samples

  • Work closely with League Coordinator to ensure member satisfaction
  • Assure all players are checked in and present on official score sheets
  • Track all relevant statistics during games
  • Assist in game preparations/ clean up as needed
  • Experience tracking statistical data for basketball games
  • General knowledge of basketball rules
  • Ability to resolve conflicts in a professional, tactful manner
47

Senior Statistician Resume Examples & Samples

  • The Sr. Statistician is responsible for delivering statistical models, segmentation analysis, and customer insights that will inform major marketing spend and business decisions. Key areas of focus will include improving the planning, execution and optimization of CRM marketing strategies/campaigns – including offline and online programs
  • This position drives best in class applications for developing learning plans and test design, identifying KPIs, analytics plans, and optimization recommendations for campaigns maintaining analytical rigor
  • This role goes beyond pulling numbers and crunching data - the objective is to convert our raw data into meaningful and actionable business analysis and insights that will drive our marketing agenda and help us drive higher levels of consumer engagement as well as revenue
  • You will partner with our various marketing teams to structure problems, extract and analyze data and present findings and recommendations to our leadership teams. Major Responsibilities: Deliver a broad scope of analyses including predictive modeling, customer segmentation, lifetime value analysis, cross channel analysis, test design and analysis, and more. Create measurement strategies and test and learn agendas for the brand marketing teams
  • This is a hands-on role that requires the ability to build statistical models, manipulate data, apply statistical techniques and create reports
  • Support Marketing teams in the optimization of campaigns, through measurement and analysis of consumer response and engagement. Identify opportunities for more efficient acquisition, development and retention
  • Craft innovative data and analytics representations that allow insights to be easily understood and extracted from large amounts of data and analytical output
  • Support the development of CRM programs and brand strategies, marrying data and insights with our brand goals and objectives
  • Collaborate with business teams to maximize efficiency and effectiveness of our existing $250MM+ global marketing budget across owned and licensed brands by working across our matrixed P&Ls
  • Experience in direct marketing analytics preferred Expert proficiency in SQL
48

Sampling Statistician Resume Examples & Samples

  • Support definition of sample population and specify the appropriate sample frame and sample size for complex surveys
  • Work with survey methodologists and other research team members on the design and implementation of the sampling and weighting plans for complex survey projects in addition to questionnaire development and analysis of survey data
  • Prepare sampling, stratification and weighting methodology content for proposals and project reports
  • Support development of technical reports and proposals
  • Present research papers at professional conferences and submit articles for publication in journals
  • Minimum of 3 years of applied sampling and weighting design experience required, experience with multiple-modes, including telephone is a plus
  • Familiarity with a wide range of advanced statistical techniques
  • Proven ability to analyze data using SAS or R
  • Excellent verbal, interpersonal and written communication skills
  • Strong analytical, problem-solving and decision making capabilities
  • Demonstrated outstanding level of professionalism in providing administrative support, including ability to exercise good judgment, discretion, tact, and diplomacy
  • Excellent problem solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions
49

Statistician Resume Examples & Samples

  • Support development of sample designs and stratification for household, and facility surveys and other types of research
  • Calculate weights and sampling errors for large and complex survey projects
  • Prepare descriptions of sampling procedures for project reports
  • Master's Degree in statistics, sociology, psychology, survey methodology, statistics or related field with focus on sampling with at least 5 years of professional experience
  • Demonstrated skills in designing samples for household and/or facility surveys, calculating weights for survey data, and calculating sampling errors
  • Knowledge of or applied experience in non-probability sampling a plus, but not required
50

Statistician Resume Examples & Samples

  • Determine statistical methods for analysis of spatial and quality data; perform analysis and drive metrics
  • Assist in developing sampling plans for quality evaluation
  • Develop simple scripts and tools to handle basic statistical or other analytical needs
  • Create summary results and reports with graphs, tables, and charts; provide interpretations to project leaders
  • Provide support to the statistical needs of various departments within the company
  • Train other teams within the organization on basic statistical thinking and methods
  • Bachelor’s degree in Statistics or related fields with minimum 5 years of experience in experimental design OR Master’s degree in Statistics or related fields with minimum 2 years of experience
  • Experience in R or other statistical tools such as Minitab, SAS, or Stata
  • Knowledge of GIS (Geographic Information Systems) and experience with using GIS tools for spatial data analysis strongly preferred
  • Programming and Database knowledge (VBA, C, C++, SQL, etc) will be a plus
  • Application of statistics in Quality area or Six Sigma green belt certification will be a plus
  • Actuarial experience is not required but nice-to-have
  • Ability to explain statistics in simple terms to non-statisticians
  • Ability to learn and expand in the role
51

Predictive Modeler / Statistician Insurance Resume Examples & Samples

  • Graduate degree in a quantitative discipline such as Statistics, Computer science, Mathematics, Economics, or Operations Research OR Associateship/Fellowship in the Casualty Actuarial Society
  • A minimum of 3 years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus.(8+ years with prior management experience required for AVP role)
  • Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation coupled with programming experience with SAS (STAT, macros, EM), R and other statistical software (Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus
  • Ability to effectively manage own and associates’ time while multitasking between multiple projects in a dynamic business environment with a variety of internal stakeholders, partners and customers
  • Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills absolutely essential
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint)
52

Statistician Resume Examples & Samples

  • Develops statistical analysis and statistical programming to support data analysis for clients
  • Provides analytical design of projects and performs analytics as required (Bayesian)
  • Creates statistical programs relative to project specifications and industry standards
  • PhD in Statistics or Biostatistics required; genetics field strongly preferred
  • Proficiency in R programming is required; SAS a plus
53

Statistician Resume Examples & Samples

  • Apply statistical methods for analysis and determining integrity on large amounts of complex data related to pricing, including coding and predictive model development and validation
  • Assess and benchmark modeling methodologies, including identifying opportunities, establishing best practices and documenting research findings
  • Implementing models, as well as maintaining performance and integrity
54

Marketing Analytics Statistician Resume Examples & Samples

  • Answer complex business questions by applying appropriate statistical techniques on available data and/or designing experiments to gather data
  • Rapidly develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques
  • Work with cross-functional teams to encourage statistical best practices
  • Create compelling visualizations and presentations
  • M.S. or Ph.D. in relevant technical field such as Statistics, Computer Science, Engineering, or Economics
  • Expert knowledge of a statistical analytical tool such as SAS, R, Matlab, STATA, or Python
  • Experience with relational databases and SQL
  • Experience working with large data sets
  • Familiarity with visualization tools such as Tableau or Spotfire a plus
55

Workforce Analytics Statistician Resume Examples & Samples

  • Collaborates with others to determine what data are needed to answer specific questions or problems or to present findings or information to management. Determines methods for finding or collecting data. May design surveys or experiments to collect data
  • Performs data analysis using modern statistical methods and theories to solve practical problems in business, human resources and other fields. Reviews results for anomalies, investigates to determine cause, and makes corrections if necessary. Identifies trends and relationships within the data as needed. Reports conclusions from analyses, as requested
  • Assists in preparation of technical reports on research projects or administrative statistical methods and results. Assists staff administrators in preparing statistical reports for presentation to management
  • Develops and implements statistical or quantitative models to support business operations, marketing, or business development, etc. efforts and other business applications
  • May provide guidance to data entry staff, as assigned
  • Keeps informed of developments in field. Reads journals and other relevant publications, attends professional association meetings and seminars as appropriate
  • Performs other related duties as assigned or requested. The University reserves the right to add or change duties at any time
56

Senior Statistician Resume Examples & Samples

  • Develop and oversee sample and weighting designs for household and establishment surveys and other types of research
  • Prepare sampling, stratification, and weighting methodology content for proposals and project reports
  • Provide technical assistance, mentoring and training in sampling frame construction, sample design, sample size calculations, stratification, sample selection and weighting to clients and staff
  • Serve as Task Lead for quantitative projects
  • Serve as lead author for technical reports and proposals
  • Present research papers at professional conferences and submit articles for publication in journal
  • PhD in survey sampling, statistics, survey methodology, or related field with a minimum of 10 years of experience or a Master's Degree and 12 years of experience. Federal statistical agency experience is a plus
  • Demonstrated skills in designing complex samples for household or facility surveys, calculating weights for survey data and sampling errors
  • Proven ability to conduct multivariate analyses using complex survey data
  • Excellent oral communication skills with all levels of clients including junior and project management staff
57

MYS Ctsm Kl-aml Optimization Statistician Resume Examples & Samples

  • Supervise and/or conduct data-driven analysis and reports
  • Validate data, identify data quality issues (if any) and [work with technology to] address them
  • Question and validate assumptions and status quo
  • Strong statistical/data analytical skills, including data quality validation, descriptive statistics and predictive modeling experience
  • Knowledge of any programming language (preferably SQL and/or 4GL)
  • Minimum 2-3 years of relevant experience in large, complex environments
  • Mantas, AML monitoring systems and Spotfire experience a plus
  • Previous experience with financial services companies is preferred (retail banking, small business banking, commercial, institutional, and private banking)
58

Statistician Model Development Team Resume Examples & Samples

  • Build predictive models for Alert Risk Scoring and Case Risk Scoring within the agreed schedule and following globally consistent methodology
  • Design and optimize fast detection algorithms/rules in the very large financial monitoring system based on extensive data mining and statistical analyses of the system
  • Implement algorithms according to the methodology. Maintain high quality code and documentation. Assure efficiency/stability and scalability of the solution
  • Conduct data-driven analysis and reports. Apply qualitative and quantitative data analysis methods; prepare statistical and non-statistical data exploration
  • 3-5 years of experience in data mining and SAS software
  • Experience in designing detection and monitoring systems
  • Strong programming and statistical/data analytical skills
  • Excellent verbal and written communications
  • Must have: Excellent data analysis skills and ability to master large complex databases used for optimization projects
  • Initiative, creativity and attention to detail are essential
  • Ability to work under close supervision of senior team member, while preserving independence of
  • Thinking and responsibility for the results
  • Conceptual and creative thinking (outside the box)
  • Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units
  • Self-motivated with high desire of self-development and learning
  • Ability to work non-standard business hours, including weekends and holidays as determined by the business needs. Some flexibility will be expected
59

Statistician Resume Examples & Samples

  • Engine Time on Wing Prediction: This study utilizes Survival Analysis, engine flight data, pollution data and physics based models from Pratt & Whitney Engineering
  • Shop Visit Price Prediction
  • Engine Workscope Prediction
  • Unplanned Engine Removal Prediction
60

AML Optimization Statistician Resume Examples & Samples

  • Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds. Ensure appropriate methodology is selected to answer specific business questions on effectiveness of coverage. Provide supporting rationale to validate and defend all methods used
  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers. Provide written explanations of approach and analysis in plain language that supports the conclusions and observations. Speak at an executive level to the presentations that cover Optimization and Continuous Improvement Programs
  • Design statistically valid samples, design and conduct statistical experiments. Perform statistical inference and draw conclusions from sample data
  • Bring statistical expertize to the team, select best statistical methods, verify assumptions, design and implement customized methods for statistical testing and inference. Defend the methodology applied to the business problem, and develop sound rationale for the methods used and document decisions made
61

Senior Statistician Resume Examples & Samples

  • Develop and enhance advanced statistical models utilizing typical and atypical methodologies
  • Develop and update data models for statistical modeling purposes, tracking results against forecasts, and fine-tuning when required
  • Work with internal business owners and external partners to understand business requirements and strategy for Kelley Blue Book in the U.S. market; support those goals with modeling and analytics
  • Track, analyze and interpret trends in data in order to provide relevant conclusions and recommendations to management
  • Must have at least 5 years of experience performing advanced quantitative analyses in industry setting including 3 years of statistical modeling experience
  • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), generalized linear models, simultaneous equations, ARIMA, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis
  • Master's degree (M. A.) in Quantitative discipline (e.g. Math, Statistics, Economics, Bio-Statistics); PhD preferred
  • Experience working with relational databases
  • Working knowledge of SAS and SQL required
  • Ability to respond to common inquiries or complaints from customers or members of the business community. Ability to effectively present information to top management, public groups, and/or boards of directors
  • Experience managing statistical projects
62

Statistician Resume Examples & Samples

  • Work with closely with senior level Statisticians to understand business owner requirements and strategy for Cox Automotive Media Group in international market (currently China; other markets in the future)
  • Develop advanced statistical models utilizing typical and atypical methodologies based on data available internationally
  • Develop and update data models for statistical modeling purposes, tracking results against forecasts, and re-specifying when required
63

Statistician Resume Examples & Samples

  • Conduct all aspects of consumer behavior model development including problem formulation, stakeholder identification, model design, computer programming, data extraction, model estimation, model validation, model documentation, implementation, and monitoring
  • Understand the deeper issues and independently structure problems
  • Clearly communicate, and champion, options and tradeoffs with senior management
  • Understand the core tradeoffs and biases in selecting a model development sample, and execute on data preparation by extracting and building datasets from complex data warehouses. Design randomized experiments to gather data needed to build still better models
  • Write efficient computer code (mostly SAS). Use white space, comments, indentation, arrays, control blocks, and modularization
  • Have deep understanding of both classical and modern statistical methods and the ability to apply them in practice
  • Connect the use of the model with how it should be validated and monitored
  • Produce high quality written model documentation
  • Design models that can be implemented given corporate constraints, and influence the development of even better platforms to support future models
  • Manage work streams by breaking down complex projects into steps and communicating timelines to stakeholders
  • Deliver high performing, fully functioning models
  • Collaborate with multiple functional groups including risk strategy, model risk management, legal, compliance, and technology
  • Master's or PhD degree in statistics or related field
  • Expert level programming skills (SAS)
  • Deep expertise in modern statistical methods
  • Industry knowledge
  • Clear and concise oral and written communication
64

Statistician Resume Examples & Samples

  • Oncology experience is a PLUS
  • Good planning and project management skills
  • Detailed knowledge of currently acceptable statistical methodologies
  • Excellent SAS skills including report generation
  • Willingness to be hands-on
  • Excellent communication, writing and organizational skills is essential
  • Demonstrated ability to work in a team environment with clinicians, clinical monitors, data managers, programmers and medical writers
65

Statistician Resume Examples & Samples

  • Support data collection activities using modes such as web, phone and mail
  • Select telephone and addressed based samples
  • Prepare written technical documentation
  • Conduct post-stratification weighting
  • Analyze data from complex sample designs
  • Completed Masters degree program in StatisticsKnowledge of Microsoft Office products or other document editing software
  • Strong interest in survey research methodology and data collection approaches
  • Minimum GPA of 3.0
  • Strong Knowledge of SAS
  • Ability to manage time effectively
  • Ability to work under deadlines in a fast-paced environment
  • A passion for solving complex problems
  • Strong intellectual curiosity
  • Team-oriented
66

Statistician Model Development Team Resume Examples & Samples

  • Conduct data-driven analyses and reports; apply qualitative and quantitative data analysis methods; prepare statistical and non-statistical data exploration
  • Provide data pulls and reports directly from Oracle database. Write SQL queries in large database environment
  • Master degree in technical science/mathematics/statistics/quantitative methods
  • 3-5 years of experience in data mining methods and their application in business practice (PhD degree may be considered for the fulfilment of work experience requirements)
  • Initiative, creativity and attention to details
67

Statistician Consumer Insights Resume Examples & Samples

  • Design, development and evaluation of Statistical Analysis Plans and Consumer Research Studies
  • Address regulatory requirements using analytics and data driven methodologies
  • Detailed Exploratory Data Analysis for conference / manuscript submissions and executive presentations
  • Share key learnings from consumer research with actionable strategic interpretation and recommendations
68

Lead Statistician Resume Examples & Samples

  • Formulate statistical objectives, experimental designs and statistical analyses for research
  • Masters Degree in Statistics or BioStatistics and 5+ years in pharmaceutical industry or
  • Experience in statistical support of clinical
  • Excellent skills in written and verbal presentation of statistical results
69

Statistician Resume Examples & Samples

  • Expertise: Demonstrates data analytic expertise based on a foundation of statistical principles. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Ensures application of appropriate statistical methods and generation of accurate and reproducible results
  • Working independently or by providing specifications to statistical programming colleagues. Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content
  • Drug Development: Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Supports the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Collaboration: Establishes and maintains effective and efficient interfaces and relationships with internal and external customers, with support of Statistics & Decision Sciences (SDS) management. Contributes to area (e.g. discovery, translational, early development, late development) project meetings when required. Contributes positively to SDS team dynamics
  • External Engagement: Participates as a member of professional organizations, such as attending meetings sponsored by professional organizations
  • Process: Basic knowledge of data architecture and formats, such as Data Standards
  • Area Specific Core Competencies, Responsibilities and Accountabilities
  • These are additional to the above position core competencies, applicable to individuals according to their assigned area within Statistics & Decision Sciences
70

Principal Statistician Resume Examples & Samples

  • Ph.D. in Statistics or related field with minimum 3 years relevant experience, or Master’s in Statistics or related field with a minimum 5 years of relevant experience
  • Proficiency in SAS or R, as well as a working knowledge of other relevant computational tools is strongly required
  • Ability to work in a matrix organization and cross-functionally to identify and resolve issues is required
  • Experience with planning, running, and documenting simulations (including, but not limited to clinical trial simulations) is preferred
  • Strong written, oral and interpersonal communication skills
  • Demonstrated ability to collaborate and consult with non-statisticians, translating complex statistical concepts to drug research & development partners is required.Biostatistics
71

Principal Statistician Clinical Biostatistics Late Development Resume Examples & Samples

  • Be involved in the design, set-up and analysis of the clinical trials in close collaboration with other clinical team members
  • Have the ability to understand and apply innovative designs and analysis methods and supporting their evaluation via analytical studies and other appropriate methods
  • Knowledge in regulatory submissions is required
  • Ph.D. in Statistics or related field with minimum 4+ years of relevant experience, or Master’s Degree in Statistics or related field with 6+ years of relevant experience is required
  • Experience with antiviral drug development, in the HIV disease area is preferred
  • Experience in developing clinical trial protocols is required
  • Experience producing clinical biostatistics top line reports is required
  • Ability to oversee work performed by internal supporting staff is required
  • Ability to provide guidance, oversight and review of work performed by External Service Providers is required
72

Principal Statistician Resume Examples & Samples

  • Work with the clinical teams in designing clinical studies, writing the statistical analysis plans, conducting the statistical analyses, and providing statistical support for the clinical study reports, scientific presentations and manuscripts
  • Participate and lead in process improvement, training, standards development and enhancing statistical technical expertise
  • Take the initiative to liaise with other statisticians within the organization, and build working relationships with cross-functional team members
  • A PhD in Statistics or related field with 3 years of experience in the pharmaceutical industry, or a Masters in Statistics with 5 years of experience, is required
  • Excellent analytical skills and knowledge of statistical methodology including experience with modeling and simulations are required
  • Proficiency with statistical software such as SAS or R is required
  • Excellent verbal and written communication skills, including presentation skills, are required
73

Principal Statistician Resume Examples & Samples

  • Expertise: Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability
  • Quality and Compliance: Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity
  • Drug Development: Demonstrates thorough knowledge of pharmaceutical research and development strategies and execution. Takes a lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Is an evolving leader for providing input to team in terms of optimizing study or trial designs in line with study or indication level objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Disease Area Knowledge: Demonstrates knowledge for at least one disease area/target
  • Innovation: Suggests and performs the evaluation of alternative or innovative approaches to statistical methods or business processes
  • Representation: Represents Statistics & Decision Sciences for cross-functional and intra-departmental teams or working groups relating to scientific or process initiatives
  • External Engagement: Participates as a member of professional organizations, e.g. by attending meetings as chair or presenter
  • Mentor: Supervises contractors/special assignment personnel/interns/co-ops as required. Mentors junior colleagues in techniques, processes, and responsibilities
  • Process: Participates in process improvement or standards development initiatives
  • Complexity: Works on increasingly more complex programs after mastering standard ones. Proactively identifies complexity in terms Scientific, Statistical, Health Authority, Operational, and Partnership issues
  • Collaboration: Builds cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations (CROs), consultants) to achieve results for project specific needs with focus on improving communication, efficiency, and productivity. Works cross-functionally to identify and resolve issues
  • Communication: Has very good written, oral, and interpersonal communication skills. Demonstrated ability to collaborate and consult with non-statisticians, translating complex statistical concepts to drug research & development partners. Bridges scientific and business needs – integrating quantitative sciences and strong disease or functional area knowledge and appropriate market/competitive intelligence
  • Programming: Demonstrates full proficiency in SAS or R, as well as a working knowledge of other relevant computational tools as required
  • Ph.D. in Statistics or related field with minimum 3 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience
  • Demonstrated ability to work in interdisciplinary contexts outside statistics.Biostatistics
74

Senior Statistician Resume Examples & Samples

  • Expertise: Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a track record of applied experience. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability. Ensures application of appropriate statistical methods and generation of accurate and reproducible results working independently or by providing specifications to statistical programming colleagues. Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content
  • Quality and Compliance: Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, project/compound statistical lead, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity
  • Drug Development: Acquires and demonstrates knowledge in pharmaceutical research and development strategies and execution. Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Provides critical input to the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Collaboration: Establishes and maintains effective and efficient interfaces and relationships with internal and external customers, with support of Statistics & Decision Sciences (SDS) management. Routinely contributes to area (e.g. discovery, translational, early development, late development) project meetings. Contributes positively to SDS team dynamics with a clear understanding of the SDS vision
  • Process: Deep knowledge of data architecture, such as Data Standards. Recognizes the need and value of process standardization
  • Ph.D. in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience
  • Basic knowledge of SAS or R programming
  • Good written, oral, and interpersonal communication skills.Biostatistics
75

Principal Statistician Resume Examples & Samples

  • Demonstrate advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support
  • Effectively use relevant computational tools for study, experiment, or trial research objectives
  • Apply high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability
  • Comply with organization and company standard operating procedures in timely fashion, such as training and project time accounting
  • Contribute high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head
  • Ensure that documents, specifications, programs, and macros are consistent and comply with project and company standards
  • Take the lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications
  • Performs the evaluation of alternative or innovative approaches to statistical methods or business processes in complex program
  • Accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects
  • Builds cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations (CROs), consultants) to achieve results for project specific needs
76

Statistician Resume Examples & Samples

  • Prepare datasets for analysis; conduct and present preliminary analyses; participate in discussions with senior statisticians and project officers as an integral member of the analytic team
  • Provide technical advice on sampling methodological issues such as sample size determination based on differences and power analysis; preparing sampling frame; stratification and selection of sample accordingly; developing weighting plan and documentation
  • Review existing statistical analysis methods and tools for applicability and compatibility with study protocols and study design; review analysis plans for robustness and ability to meet study objective
  • Assist with imputation of missing data using procedures suitable for missing data at random (MAR) or missing data not at random (MNAR)
  • Create databases and appropriate analysis documentation for dissemination to international study teams
  • Write technical data and analysis documentation
  • Provide technical assistance to countries regarding statistical analysis
  • Travel to countries to assist with capacity development of in-country staff
  • Work closely with mutli-disciplinary teams (epidemiologists, statisticians, data analysts, data managers, field staff) to ensure a complete review of the data
  • Provide deliverables in a timely manner
  • Communicate effectively with client regarding issues, needs and/or priority setting for projects
  • Communicate effectively with non-statistically trained scientists and program staff on mathematical and statistical topics
  • Master’s degree in statistics, biostatistics, public health, engineering or related field with 3 years of work experience or PhD in statistics, biostatistics, public health, engineering with 1 year of work experience
  • Experience as a SAS, Stata, and/or R programmer
  • Experience with statistical analyses, including sample size calculations, generalized regression model, survival analysis, survey methods, imputation
  • Experience working with and aggregating/merging multiple data streams for analysis
  • Ability to travel internationally to work with in-country field teams
  • Candidates must be able to obtain and maintain a government security clearance to be considered for this position
  • Knowledge of HIV/AIDS prevention and Global Health preferred
  • Strong organizational and interpersonal skills with the ability to work both independently and as a team member are a must
77

Senior Statistician Resume Examples & Samples

  • Partner with Demand Planning BU Leads to ensure that the statistical forecasting solution effectively address the needs for the BU and further provides business insights & learnings
  • Conduct causal factor analytics to determine the most optimal factors that should be incorporated into the forecasting solution
  • Provide advanced analytical and statistical insights using a variety of tools (SAS, Tableau, Hadoop, and Teradata)
  • Develop new Tableau and Excel based tools to enable Demand planning teams to explore and visualize data in a useful and insightful manner
  • Utilize Analytical capability and detailed data analysis to drive continuous improvement in forecast accuracy and other Supply chain functions
  • Bachelors or Masters (Masters preferred) in Mathematics, Statistics, Predictive Analytics, or other quantitative field
  • 5-7 Years' experience in a corporate environment; experience in CPG or retail planning environment preferred
  • Intermediate to advanced abilities in Tableau
  • Strong analytical capability
  • Programming ability in SAS, SQL, R, Python (SAS Preferred)
  • Ability to identify relationships within data and draw inferences from large data sets in business relevant manner
  • Ability to present quantitative data in an easy-to-understand manner that balances both analytics as well as business implications
  • Effective communications skills with ability to work across and present to multiple levels and different organizational functions
  • Proficient Computer skills: MS Office specifically MS Excel
  • Ability to support continuous improvement or capability development work streams including scope definition, analysis, recommendations, and implementation
  • Must be willing and able to travel 5-10% of the time
78

Statistician Resume Examples & Samples

  • A strong technical breadth and depth in Statistics is essential. You will likely have a first degree containing a significant amount of Statistics and a Masters Degree or PhD in Statistics or a closely related field. Knowledge of machine learning methods and tools, image analyses and/or data science is desirable. Key areas of knowledge are statistical modelling, multivariate analysis and design of experiments. You will be comfortable and competent in using a range of statistical software packages (e.g. SAS, JMP, R and Python are all used)
  • You will have an enquiring mind and be interested in science and how data and statistical analyses can be used pragmatically. Being able to connect and develop ideas and be innovative are desirable attributes. You will be expected to continue your professional development as a statistician and training is actively supported
  • You may have some experience in a consulting role or similar but extensive experience is not necessary. It is important to be able to communicate with managers, scientists, researchers and others whose statistical knowledge may be limited. Good written and oral communication skills are essential as is an ability to form collaborative relationships and build effective networks. Many projects have multi‑national scope so you will need to be able to work productively with colleagues located remotely. English is the common language across P&G. Fluency in German would be beneficial
  • Personal effectiveness and management of a broad workload is important to success, especially as you will have a lot of independence. You will likely have experience managing complexity in your daily work and be able to manage your time well
79

Statistician Resume Examples & Samples

  • Collaborate with researchers in the analysis, interpretation, and presentation of research studies. These may include designed experiments, observational studies, clinical trials, population-based epidemiologic studies, and laboratory investigations
  • Participate in study design and the creation of research proposals for external funding
  • Adapt and develop novel statistical methods to address emergent problems in support of research projects
  • Function as part of a statistical team that may include Ph.D. and M.S. statisticians
  • M.S. in Statistics or Biostatistics
  • Expertise using statistical analysis software (e.g., R)
  • Two or more years of statistical consulting experience or Ph.D. Collaborative experience with biological scientists
80

Forecast Statistician Resume Examples & Samples

  • Develop and refine statistical models, generating high quality consumption and shipment forecasts
  • Reconcile forecast discrepancies on an ongoing basis through collaborative reviews
  • Help manage the application of product lifecycle events to the statistical models
  • Regularly execute reports and analytic reviews to monitor and manage the forecasts and models
  • Provide regular status updates to the status of the statistical models and their forecast metrics
  • Support the future evolution of advanced models and application of advanced analytic methods
  • Help drive business understanding of statistical models, methodologies, and performance metrics
  • B.S. degree in Statistics, Econometrics, Applied Mathematics, Business, Logistics, or related field
  • 2 to 3 years of Forecasting experience, preferably within Food or CPG
  • Advanced degree in lieu of experience will be considered
  • Exceptional analytical, problem solving, and research skills
  • Exposure to demand planning, supply planning, or sales planning processes and information flows
  • Strong computer competency, including PowerPoint and other Microsoft Office applications
  • Exposure to SAS programming, SAS Enterprise Guide, or similar is a plus
  • Exposure to Data Mining and other Advanced Analytic functions, is a plus
  • Exposure to Syndicated and POS data sources (IRI, Nielsen, Retail Link, etc.) is a plus
  • An Advanced degree is a plus
81

Analytics Statistician Resume Examples & Samples

  • Support R&D data analytics systems including day-to-day operations and troubleshooting
  • Write code to process, analyse, and address database and system issues
  • Collaborate and consult with data scientists and subject-area experts on statistical, data mining, and visualization problems and algorithms, and on system design and implementation
  • BSc or MSc in data science, analytics, statistics, or closely related field
  • Education in applied statistical methods and software
  • Expertise in one or more programming languages such as C++, Python, Java; knowledge of JavaScript, relational databases and SQL is an added plus
82

Statistician Resume Examples & Samples

  • Prioritize and effectively manage several projects simultaneously
  • Meet project deliverables and timelines from a statistical perspective
  • Work collaboratively within a multidisciplinary team
  • Competency in English both in oral and in written
  • Succinctly write statistical analysis documents, (e.g., analysis plans)
  • Competency in explaining the results of the statistical analysis to the clinical study team and other clients in verbal and writing
  • Ensuring that the results have been appropriately interpreted in the report
83

Afit Technical Support / Statistician Resume Examples & Samples

  • Supporting development of case studies that include the methodical capturing of methodologies derived from the supported statistical T&E acquisition support, compiling these methodologies, disseminating these methodologies in the form of written products through the STAT T&E COE. Present case studies to the Director, STAT T&E COE or their designated representative no later than the last day of the quarter
  • Capturing recurring difficulties and their resolution actions derived from the supported statistical T&E acquisition support, compiling these lessons learned, disseminating these lessons learned in the form of written products through the STAT T&E COE
  • Capturing best practices derived from the supported statistical T&E acquisition support, compiling these practices, disseminating these practices in the form of written products through the STAT T&E COS. Presenting best practice reports to the Director, STAT T&E COE or their designated representative
  • Respond to questions from DAU’s “Ask A Professor” on scientific and statistical rigor in TEMP development and assist in the development of DAU training material
  • Author or co-author on submission to peer-reviewed archival journals
84

Statistician Modeler Resume Examples & Samples

  • Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems
  • Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions
  • Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
  • Research new and advanced predictive modeling techniques as appropriate for a specific solution
  • Present results and recommendations to internal and external customers
  • Work with cross-functional teams to develop ideas and execute business plans
  • Develop solution prototypes and help integrate them with the product
  • Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions
  • Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain
  • Professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena
  • Strong quantitative analytical experience, including hands-on and background in using statistics, regression modeling, neural networks, decision trees, random forest, support vector machine, kernel based methods, clustering and similar methods
  • Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline
  • Strong consultative acumen and ability to understand complex analytical solutions
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Ability to create new ideas for analytical solutions to address customer's business issues
  • Professional experience with SAS, R, SPSS, MATLAB, Weka and other statistical and machine learning packages
  • 2+ years’ experience with SAS or a similar statistical tool
  • PhD with experience and exposure to Advanced Analytics and Data Mining
  • Proficient in SAS programming including SAS Macro
  • Experience with R, SPSS, MATLAB, Weka and other packages preferred
  • Strong SQL skills in Big Data environment (Hive, Impala etc.) preferred
  • Familiarity with programming languages such as Perl, Python , Scala (or similar scripting language), Java, C/C++ preferred
  • Experience working with very large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) preferred
  • Experience with state of the art machine learning algorithms such as neural networks, support vector machines, ensemble models, kernel-based methods genetic algorithms etc. preferred
  • Extensive knowledge in fraud prevention methods and detection tools a plus
  • Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus
  • Knowledge of optimization and design of experiments techniques a plus
  • Experience working in UNIX environment preferred
  • Security Clearance a plus
  • SAS Certification a plus
85

Lead Marketing Statistician Resume Examples & Samples

  • Educates and trains Senior Marketing Statisticians and Marketing Statisticians about statistical techniques and modeling methodology
  • Assists in the development and enforcement of the analytic quality control processes
  • Acts as a consultant to internal clients, recommending further projects based on analytic projects
  • Validates the results of statistical models built to predict customer behavior and segment/profile customers
  • Participates in qualitative research program as assigned
  • Maintains regular and predictable attendance
  • 6-8 years experience in marketing analysis related to direct marketing, financial services or other service sector
  • Experience with statistical and data reporting tools (SAS required)
  • Experience with multivariate data analysis methods is required, prefer experience with large, (multi-million) customer base
  • Experience in statistical analysis to include segmentation techniques, direct/target marketing and analysis of large populations is highly preferred
86

Marketing Statistician Resume Examples & Samples

  • Builds statistical models to find incremental circulation for all marketing campaigns
  • Analyzes trends and patterns in customer behavior related to purchasing habits (RFM, product categories, channel usage, etc.)
  • Summarizes analysis findings in concise, well-reasoned, and actionable reports
  • Ensures all required files are delivered to marketing database team per schedule to ensure timely execution of marketing calendar
  • Abides by all policies and procedures of Oriental Trading Company
87

Applied Statistician Resume Examples & Samples

  • Work with internal teams and clients to identify high-priority research questions
  • Design, lead, and manage research projects
  • Apply expertise in statistics and data analysis to explore the impact of various business practices on operational and financial outcomes
  • See beyond the numbers to identify findings of strategic importance to Medallia and practical value to clients
  • Communicate analyses and results in ways that are accessible, relevant, and meaningful to a business audience. This might include PPT presentations, written reports targeted at a C-suite audience, non-technical white papers and short briefs
  • Strong experience performing research and advanced data analytics in a business, academic, or related context (e.g., high-tech, market research, management consulting, finance, education)
  • Advanced working knowledge of regression techniques applied to various data types (e.g., continuous, binary, ordinal, nominal) and in various contexts such panel, clustered, time-series, and censored data. Familiarity/experience with factor analysis, latent variable modeling (SEM, LCA, PCA) a strong plus
  • Ability to explain value of qualitative, statistical and other research results to non-technical audiences, including executives and managers. Willingness to go beyond statistical significance to communicate impact, using examples, visual representations etc. Previous experience with stats consulting would be useful
  • Both big picture perspective and attention to detail
  • Deep curiosity and love of problem solving
  • Master’s degree or PhD in a field that uses quantitative methods to understand human behavior: Organizational Behavior, Management Science, Economics, Sociology, Psychology, Psychometrics, Engineering, Statistics and similar degrees welcome
  • Demonstrated knowledge of statistical software such as R, Stata, SAS, SPSS, Mplus, Latent GOLD). Experience with visualization software also a plus (e.g., Tableau.)
  • Comfortable manipulating large data sets
  • Interest in developing expertise in broad range of topic areas such as: customer experience, loyalty and purchasing behavior, employee engagement, organizational change and learning, marketing, financial impact
88

Senior Statistician Resume Examples & Samples

  • Collaborate with members of the SBG team to design and structure the data analytic plan for projects within the AMP-RA/SLE network
  • Respond to requests from outside collaborators by performing power calculations, producing results as reports, presentations, graphics, web sites, etc
  • Use and help develop our computational pipeline for multi-processed big-data analysis on Linux
  • Collaborate with members of the SBG team and AMP investigators on study design, and project development
  • In collaboration with the Bioinformatician, take the lead on: providing statistical consultation; performing statistical analyses; performing complex data management tasks
  • Serve as key member of the AMP-RA/SLE research team. This involves attending team meetings, providing expertise and providing assistance with programming or doing the programming for the team's projects, in concert with the Bioinformatician
  • Provide assistance teaching and consultation to postdoctoral fellows, junior faculty and other trainees in appropriate statistical analyses for manuscripts, grant submissions, and presentations
  • Write portions of papers and grant proposals, particularly sections on analysis and sample size. Carefully edit entire document, especially sections on analytic techniques, sample size and power
  • Master’s level training required, Ph.D. preferred in statistics, and experience as a statistician and statistical programmer with a focus on biostatistical analyses
  • Experience with a statistical programming language, such as SAS, STATA and R programming
  • Advanced data management and analysis skills. Must be able to perform parametric and nonparametric bivariate analyses and a wide range of multivariate techniques, for example LASSO regression methods in a generalized mixed effects regression model framework, survival analysis, and hierarchical clustering techniques,
  • Teaching expertise as the postdoctoral fellows rely upon the statistician for scientific mentoring
  • Problem solving and organizational ability; written and interpersonal and communication skills; and initiative
  • Ability to work independently as well as collaboratively on research teams
  • Ability to manage multiple tasks under competing deadlines and shifting priorities
  • Ability to teach fellows and junior faculty in basic and more advanced statistical techniques
  • Advanced knowledge of biostatistics and statistical programming
89

Statistician / Per Diem / Day / Bwh Ob / gyn Resume Examples & Samples

  • Masters or doctorate in statistics, epidemiology, biostatistics, or public health (with biostatistical/epidemiological emphasis)
  • Excellent communication and project management skills are desired as the position involves managing multiple competing priorities
  • The ideal candidate should be willing and able to work independently to identify department research needs and to develop statistical programs and processes to meet them
  • The candidate will be expected to contribute to the standardization and automation of research project analyses while maintaining production deadlines
  • Familiarity with basic epidemiologic and statistical methodology is desirable
  • Oversee work study students and volunteers
  • Oversee project development and execution of work by residents, graduate students, and clinical fellows
90

Statistician Resume Examples & Samples

  • Three or more years of experience as a consulting statistician with demonstrated success as an independent consultant on most studies
  • Well-developed oral and written communication skills
  • Expertise using statistical computing software such as SAS or R for the purposes of data management and statistical analysis
  • Demonstrated success in the areas of project management, prioritization, organization, and the delegation of various tasks on multiple, concurrent projects
  • Demonstrated initiative/innovation in administration, education (seminars, training), software development, technical reports
  • Graduate GPA of 3.5 or greater preferred
91

Statistician / Intermediate Resume Examples & Samples

  • Uses advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare
  • Establishes scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation
  • Writes statistical methodologies and results for technical reports and publications. Develops metrics and scorecards
  • Provides data and analyses for the preparation of grants for outside funding, and assists as appropriate with the preparation of proposals
92

Statistician Resume Examples & Samples

  • Validate predictive models (decision trees, linear regressions, models for binary outcome) within the agreed schedule and following globally consistent methodology
  • Apply statistical methods to organize, analyze, and interpret data related to Customer Segmentation Model
  • Perform Customers segmentation to ensure appropriate settings of Anti-Money Laundering monitoring system
  • Minimum of 5 years of experience in SAS software
  • Minimum of 3 years of experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses
  • Experience with very large transactional systems
93

Research Analytics Statistician Resume Examples & Samples

  • Create predictive models by mining complex data
  • Research and implement new statistical/machine learning algorithms
  • Serve as an internal department mentor and coach on data science problems
  • Collaborate with scientists and engineers on statistical matters, understand their needs, and find creative solutions to meet those needs
  • PhD in statistics or closely related field
  • Statistical method development expertise with a solid understanding of MCMC methods
  • Experience implementing advanced algorithms in SAS, R, or Python; working knowledge of C/C++ is desirable
  • Creativity and curiosity with the ability to learn and apply new concepts quickly
  • Ability to interact effectively with a wide variety of scientists
94

Health Statistician Resume Examples & Samples

  • 3+ years of experience with data mining and statistical modeling
  • 3+ years of experience in working with the SAS Base and Enterprise Guide
  • Experience with data manipulation
  • Ability to be flexible and innovative
  • Ability to deal with ambiguous, fast-paced situations
  • Ability to work independently and as a member of a team
  • Ability to obtain a security clearance
  • MA or MS degree in Statistics or Biostatistics required
  • Experience with additional SAS packages
  • Experience with R
  • Experience in government health agencies
  • Experience with analyzing large scale data sets
  • Experience with SUDAAN
  • Possession of excellent data gathering, analytical, and problem solving skills
  • PhD degree in Statistics or Biostatistics
  • SAS Certification
95

Principal Statistician Resume Examples & Samples

  • Sets up and monitors on-line survey projects; including interface with vendors and QA of surveys and reports
  • Supports or initiates calls and emails with customers; sales representatives; and General Dynamics IT staff as necessary; pertaining to survey coding and processing instructions; status checks; etc
  • Receives; collects and tracks pending and in-process projects as needed
  • Prepares reports; charts; tables; and other visual aids
  • Supports the organizational development standard survey and leadership assessment tools including; but not limited to; the Campbell Development Survey suite; Organizational Survey System suite; and the System for Testing and Evaluation of Potential
  • Provides general information regarding our survey programs and reporting capabilities to clients
  • Provides strategic sales support on educational and governmental surveys; including thought leadership
  • Works with other departments on preparing RFP proposals and SoWs; and scoping and designing custom survey projects
  • 8-10 years of related statistical analysis experience
  • Experience with educational survey methodology (e.g.; item writing; item databases; item pre-testing; and probability sampling) is highly desirable; government survey project experience is a plus
  • Good working knowledge of web-based survey platforms; including user experience driven technology functionality
  • Excellent oral and written communication skills required with emphasis on presentation skills
  • Good consultative & listening skills
96

Statistician Resume Examples & Samples

  • 5 to 8 years of experience with BS/BA or 3 to 5 years with MS/MA or 0 to 2 years with PhD. Experience may substitute education
  • Experience with a variety of statistical analysis methods
  • Experience with various analytic software
  • Good oral and written communication skills, with both technical and non-technical personnel
  • Experience with academia engagement/partnership
  • Experience arranging large scale conferences for partners
  • Familiarity with National Intelligence Programs (NIP)
97

Support Team Statistician Resume Examples & Samples

  • Categorizing qualitative and quantitative data for appropriate analysts to utilize
  • Formatting data for either quantitative or qualitative analysis
  • Conducting analysis on structured and unstructured data as required
  • May analyze and interpret statistics to point to significant differences in relationships among sources of information, and prepare conclusions forecasts based on data summaries
  • Describes sources of information and limitations on reliability usability for statistical inference
  • Plans data collection, and analyzes and interprets numerical data from studies, surveys, and other sources and applies statistical methodology to provide information for scientific research statistical analysis to applied DOD problem sets
  • Helps plan methods to collect information including developing questionnaire techniques according to survey design
  • Must have at least a Master’s degree in Statistics or similar field
  • Must have at least 3 years of relevant experience
  • Must be able to evaluate survey sampling techniques or complete enumeration bases
  • Must be able to evaluate the reliability of source information, adjusts weights of raw data, and organizes results
  • Must be able to evaluate numerical information of computer readouts, graphs, charts, tables, written reports or other methods of statistical analysis
  • Must be skilled in industry standard statistical software such as SPSS
  • Must have experience with Multivariate data analysis including; regression, factor analysis and cluster analysis with DOD survey data
  • Must be willing and able to travel CONUS and OCONUS in support of the program: Note some locations may be hazardous
  • Must possess a current Top Secret security clearance with SCI eligibility
  • Must possess or be able to obtain a U.S. Passport
  • Must be a U.S. Citizen
  • Experience working in the customer space as an individual technical contributor
  • Experience with text analytics methods and software
  • Excellent oral, written, and electronic communication skills to include proficiency with customer-based communication systems
  • Familiar with Intel Systems
  • Familiar with all source analytic tools and techniques
  • Strong leadership, communication and motivational skills; ability to create a positive and productive work environment
  • Experience working with distributed teams
98

Cultural SME / Statistician Resume Examples & Samples

  • 3 years of demonstrated Quantitative and Qualitative Analysis
  • MA/MS Social Science
  • MS Applied Mathematics
  • 1 year of SPSS or similar Script
  • EIA/i2 Trained
  • 2 years of experience with USG Campaign Assessment
  • 3 years of experience with Population Survey development and execution
99

Statistician, Healthcare Quality Analytics Resume Examples & Samples

  • Analyzes, plans, reports and presents quality analytics
  • Develops standardized and ad-hoc reports on quality program performance
  • Develops testing procedures and control groups to determine optimal program performance
  • Utilizes statistical software (SAS) to mine and analyze data to support quality initiatives
  • Evaluates financial and quality impact of implemented initiatives
  • Performs special duties as assigned
  • Required: 5+ years of experience in related business analysis, in a Healthcare environment (2+ years experience required with a PhD)
  • Required: 3+ years of experience in Experience in Regression, Multivariate and Predictive modeling (i.e. OLS, ANOVA, LOGISTIC)
  • Required: 3+ years of experience in relevant programming to include SAS or SQL
  • Preferred: 2+ years of statistical analysis experience in a professional, Healthcare environment
  • Demonstrated organizational skills Demonstrated organizational skills with the ability to prioritize and coordinate multiple projects
  • Ability to analyze information and convert related activities into a comprehensive work plan
  • Proficient in Outlook, Word and PowerPoint
  • LI-JC1
100

Senior Statistician Resume Examples & Samples

  • Lead the statistical activities for a trial or publication activities. 
  • Provide scientific input into protocols by advising on most appropriate study design, hy-pothesis testing strategy, sample size calculations and analysis methods. 
  • Responsible and accountable for transcribing statistical analysis plans (SAPs) into com-putational solutions for the statistical programmer to implement (specifications of de-rived variables, specification and development of statistical computing solutions for in-ferential statistical analyses, tables and listings templates for the first interpretable re-sults (FIR) and clinical study reports (CSR)) of Phase I-IV clinical trials. 
  • Responsible and accountable for SAP execution across multiple studies, third party re-porting activities, exploratory analyses and additional analyses to support publications for individual clinical trials. 
  • Ensure high quality for all assigned deliverables and processes and ensure audit-readiness. 
  • Maintain efficient interfaces with internal and external customers with support of clinical trial services (CTS) management. 
  • Ensure adherence to timelines for statistical deliverables. 
  • Develop and comply with project / study standards and specifications following internal guidelines. 
  • Provide statistical analysis solutions when exploratory analyses are required
  • Make certain that documents and specifications are consistent and comply with company standards by providing input into case report forms (CRFs) and data structures tables, listings and figures for phase I-IV clinical trials and submission activities. 
  • Participate in the selection of clinical research organizations (CROs) and supervise the trial activities of the CROs as needed. 
  • Support quality control and quality audit of deliverables. 
  • Provide input on process improvement initiatives and participate in non-clinical project activities with support from Group Head
  • MS/PhD (in Statistics or equivalent) with 5+ relevant year’s work experience
  • Fluent English (oral and written)
  • Working knowledge of/experience with SAS/ R or any other business or research analytic software with an expertise in at least one type of software
  • Statistical and numerical knowledge and expertise in analytic aspects
  • Good understanding of regulatory requirements
101

Senior Statistician Resume Examples & Samples

  • Make certain that documents and specifications are consistent and comply with company standards by providing input into CRF and data structures tables, listings and figures for phase I-IV clinical trials and submission activities
  • Participate in the selection of CROs and supervise the trial activities of the CROs as needed
  • Support quality control and quality audit of deliverables
  • Provide input on process improvement initiatives and participate in non-clinical project activities with support from GH
  • Working knowledge of/experience with SAS/ R or any other business or research analytic software with an expertise in at least one software
  • Good understanding of global clinical trial practices, procedures, methodologies
102

Prin Statistician Resume Examples & Samples

  • Masters degree in Biostatistics or Statistics
  • At least 7 years experience with MS, 4 years with PhD in the analysis of data from clinical studies and design of clinical trials
  • Experience in clinical studies from the design through approval stages in the medical device or pharmaceutical industries. Participation in FDA regulatory meetings, especially panel preparation and presentation
  • Strong applied statistical skills, including survival analysis and regression modeling, advanced programming skills in SAS, or another statistical analysis package, high level of knowledge of clinical trial methods and execution, high degree of expertise regarding research data management, high level of competency in Windows environment and with Microsoft Office Tools (Word, Excel), demonstration of good oral and written communication skills, well-developed interpersonal skills, and demonstration or evidence of leadership competencies
  • High level of knowledge of relational database function, and SAS Proc SQL. Experience with interim analyses, missing data strategies, longitudinal analyses, and other advanced statistical and clinical trial methods
  • Demonstrates strong strategic thinking
  • Navigates complex challenges and solves problems
  • Takes ownership and self-motivated
  • Works effectively on cross-functional teams
  • Results and solution oriented
  • Excellent written, oral, and interpersonal communication skills including proficient knowledge of medical terminology
103

Statistician Resume Examples & Samples

  • Bachelor’s degree with 2+ years of experience
  • Master’s degree with 0-2 years of experience
  • Advanced degree in math, statistics, computer science, or related field
  • Extensive R programming experience
  • Statistical process control experience
  • Survival analysis experience
  • Medical device domain knowledge
  • Six Sigma certified
  • Demonstrated ability to communicate technical content to non-statisticians (written and verbal)
104

Prin Statistician Resume Examples & Samples

  • M.S. in Statistics, Biostatistics, or related field
  • At least 5 years of experience in the design and analysis of clinical studies, or at least 3 years with a Ph.D. degree
  • Applied statistics experience, (e.g., survival analysis, regression modeling, interim analyses, missing data strategies, longitudinal analyses)
  • Ph.D. in Statistics or Biostatistics
  • Advanced programming skills in SAS and/or R
  • High level of knowledge of clinical trial methods and execution in a regulated environment
  • Experience applying Bayesian methods to clinical trials
  • Experience in medical device, biotechnology, or pharmaceutical industries
  • High level of competency in Windows environment and with Microsoft Office Tools (e.g., Word, Excel)
  • Demonstration of excellent oral and written communication skills, including experience presenting clinical trial results and statistical methods
  • Specialized training and experience with group sequential designs, adaptive designs, Bayesian hierarchical models, design of experiments, statistical sampling, pharmacoepidemiology, or statistical de-identification
105

Senior Statistician Resume Examples & Samples

  • Responsible for statistical methods sections and statistical analyses in clinical protocols and reports
  • Ensures accuracy of report text and consistency between summary tables in the body of reports and the corresponding statistical tables and listings
  • Identifies and corrects common flaws in interpretation of results, inconsistency in presentation or inference to Abbott report guidelines
  • Works collaboratively with peers to develop quality protocols, CRF, schema, and reports per agreed timelines
  • Provides accurate and timely answers to questions from clients and others
  • Communicates basic statistical concepts to other scientists and nonscientists, and acts as Subject Matter Expert for the group
  • Effectively mentors non-statistical peers with regard to basic statistical methodology
  • May be responsible for providing or reviewing statistical input for verification and validation studies
  • Safeguard the environment and facilitate a healthy workplace culture
  • Other miscellaneous duties as may be required
  • Undergraduate university Degree (4 year program), or equivalent experience (Engineering, Science or Math with a specialty in Statistics or Biostatistics)
  • 10 plus years related work experience developing protocol methodology and statistical analysis plans
  • The ability to develop appropriate design and statistical methodology to support regulatory submissions for medical devices
  • Advanced Knowledge of: MS Office, SAS JMP, Minitab (or equivalent statistical software)
  • Knowledge in the following areas is desirable
  • Current Good Manufacturing Practice 21 CFR Part 820
  • FDA 510K Clearance Guidelines and Best Practices
106

Process Statistician Resume Examples & Samples

  • The candidate is expected to possess a deep understanding of statistical concepts and to be able to explain complicated concepts to an audience with various levels of statistical knowledge
  • The PMA group provides advanced statistical analysis for the process and analytical groups within Biologics MS&T
  • Candidate will interact with the Life Cycle Management group, and all Biologics Manufacturing sites
  • Experience working in/ leading cross-functional teams is essential. Knowledge of biologics manufacturing processes is needed
  • The successful candidate will have a MS or PhD in Chemical/ Biochemical Engineering with significant experience in statistical analysis or a MS in Statistics with 3-5 years of experience in the relevant field. Demonstrated problem solving ability, strong leadership, interpersonal, oral, and written communication skills are essential
  • Experience with the use of and scripting in different software packages like Matlab, SAS, JMP, Minitab, Umetrics SIMCA is an advantage
  • Experience with data management systems and data networks is preferred. Candidate must be willing to travel approximately 10% of the time for this role
  • 1602412
107

Senior Statistician Resume Examples & Samples

  • The Senior Statistician will report directly to a Process Development Manager
  • The Senior Statistician position will lead all statistical support for a variety of activities within Process Development
  • The candidate will lead statistical support for experimental design and subsequent statistical analysis
  • The candidate will work closely with upstream, downstream, and analytical scientists within PD to deliver robust, scalable, and economical processes for late-stage clinical and commercial biologics products
  • Responsibilities include but are not limited to:Lead all statistical support activities within Process Development.Drive implementation of appropriate statistical methods for PD activities.Drive statistical support for Design of Experiments (DOEs) and analysis of experimental results as part of analytical method development and qualification, analytical comparability studies, process development, and process characterization activities
  • Support drafting and reviewing of technical documents including CMC regulatory submissions
  • Mentor, teach, and train colleagues in statistical methodologies
  • Represent the PD group on cross-functional teams and in presentations to senior management.Establish collaborations with colleagues in Manufacturing Sciences and Technology (MS&T),
  • Manufacturing Support, various Manufacturing sites, and other R&D functions
  • Supervise a statistician, overseeing her daily work, and guiding her career development and growth
  • Expertise in statistical methodologies.Practical experience and demonstrated knowledge of general linear models, mixed models, non-linear models, and experimental design.Sound knowledge of statistical software
  • Knowledge of cGMPs, upstream and downstream processing, and analytical techniques is desired.Excellent oral and written communication skills
  • Ability to work collaboratively in a team environment
  • Bristol-Myers Squibb is an equal opportunity employer - M/F/Vet/Disability
  • Location: NA-US-MA-Devens
  • Job Function: Process Development
  • Organization: GMS - Biologics Devens
  • Ph.D. in statistics or other relevant field with a minimum of 4+ years industry and/or academic experience
  • 1600412
108

Principal Statistician Resume Examples & Samples

  •  Provide statistical input into the design of protocols including preparation of the biostatistical analysis section. Suggest optimal statistical designs that are acceptable by regulators
  •  Prepare statistical analysis plans including table shells
  •  Analyze and report results of clinical trials. Provide tables, listings and graphs for final study reports. Provide ad hoc/data driven analyses
  •  Provide statistical input for the preparation of final study reports and other required documents
  •  Provide statistical support for integrated reports, submissions preparation, and post-submission activities
  •  Contribute to Clinical Development Plan
  •  Support preparation of manuscripts
  •  Provide project requirements to programmers
  •  Serve as statistical lead on studies, projects, NDAs or sNDAs
  • Represent Celgene in interfaces with regulatory agencies globally
  • Provide statistical input to senior management
  •  Sought out statistical expert to peers and others
  •  Provides supportive feedback to peers and leaders
  •  Proactively seeks ways to gain broader experience/perspectives and make contributions
  •  Participates in cross-functional collaboration and meetings to gain the trust and respect of members, make decisions on business issues and freely challenges and expresses opinions
  •  May provide coaching and mentoring and provides feedback via formal/informal appraisals
  • LI-SL1
  • MONEU
109

Statistician Resume Examples & Samples

  • The candidate must demonstrate strong analytical skills with business acumen
  • To employ statistical modeling techniques and generate tools to answer business questions especially to support promotion response modeling; marketing mix optimization; resource allocation across diverse personal promotional channels; and segmentation
  • To be fully grounded in Lilly’s sales operations data sources and able to respond to data requests from business partners
  • Have broad understanding about sales and marketing and be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data
  • To work closely with business partners to understand key business decisions and the information they require in order to make those decisions
  • To identify existing resources that answer teams’ business questions without the need for acquiring new data
  • To oversee technical methods done by vendors
  • To influence strategic priorities and resource allocation during the business planning process
  • Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
  • Participate in peer-review work products and advise others on technical matters
  • Can effectively lead cross-functional or multi-disciplinary groups and use technical expertise to influence business decisions through statistical/mathematical analysis and interpretation
  • Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training
  • Master's degree in Statistics, Biostatistics, or Economics
  • Preferred experience in marketing and sales area or finance
  • Deep and broad knowledge of statistical modeling and data mining methods and tools – able to reduce business problems to mathematical/statistical questions/hypotheses that can be answered through analytics and data mining
  • Proficiency with analytic tools (SAS, JMP, R etc.)
  • Teamwork and leadership skills
  • Strong learning agility
  • Insatiable curiosity for understanding existing information sources, uncovering new ones, and developing and improving on analysis approaches
  • Positive and professional approach
  • Ability to do prioritization across multiple projects
110

Statistician Resume Examples & Samples

  • Master of Science in Statistics or related scientific field
  • Proficiency in the use of statistical software (eg: JMP, SAS, R, S-Plus, etc.) Experience with preparation of regulatory documents such as, but not limited to, sBLAs, BLSs, INDs, Briefing Documents, and responses to questions from regulatory agencies
  • Coursework (Experimental Design, Regression, Engineering, Six Sigma, Statistical Process Control and Improvement, Mixed Models, Bioassay, Sampling)
  • M.S. with 3-5 years industry experience or Ph. D. in Statistics or related field
  • Experience in parenteral and large molecule drug development and/or manufacturing
  • Experience in dry product and small molecule drug development and/or manufacturing
  • Experience in device development
  • Biology, chemistry or engineering background and or experience
111

Statistician Resume Examples & Samples

  • Statistical Analysis
  • Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans
  • Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created
  • Collaborate with data management in the planning and implementation of data quality assurance plans
  • Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods
  • Effectively justify methods selected and implement previously outlined analysis plans
  • Conduct peer-review of work products from statistical colleagues
  • Effectively utilize current technologies and available tools for conducting the clinical trial analysis
  • Collaborate with other statistical colleagues to write reports and communicate results
  • Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers
  • Assist or respond to regulatory queries working in collaboration with other statistical colleagues
  • Therapeutic Area and Systems Knowledge
  • Understand relevant disease states in order to enhance the level of customer focus and collaboration
  • Ensure replication of tools and systems, where applicable and stay informed of technological advances
  • Regulatory and Quality Compliance: Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training
  • Master’s degree in Statistics or Biostatistics
  • Interpersonal/teamwork skills for effective interactions
  • Technical growth and application with working knowledge of statistics and statistical software
  • Creativity and innovation
  • Demonstrated problem solving ability and attention to detail
  • Data analysis, technology, and systems expertise
112

Statistician Resume Examples & Samples

  • Master’s degree in Statistics, Biostatistics, or relevant scientific fields with 3+ years of pharmaceutical experience
  • Pharmaceutical industry standards such as ICH guidelines, SDTM, ADaM, CDISC, CDASH, etc., knowledge
  • Work and manage external vendors and third party organizations and provide oversight to outsourced work
113

Industrial Statistician Resume Examples & Samples

  • Understand disease states or scientific areas in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor
  • Ph.D. in Statistics, Biostatistics or related field
  • Additional work experience, especially in the application of statistics in the pharmaceutical development or manufacturing areas, would be of value
  • Proficient in the JMP and/or SAS programming language
  • Interpersonal/teamwork and communications skills for effective customer collaboration
  • Strong teamwork and leadership skills with future interest in supervising other statisticians
  • Self-management skills, creativity and innovation
  • Strong desire to learn about chemistry and pharmaceutical science
114

Industrial Statistician Resume Examples & Samples

  • Ph.D. in Statistics, Biostatistics, or related scientific field
  • At least 3 months of applied statistical research experience at industry (e.g., internship or full-time employment) OR academic research centers, outside of PhD dissertation
  • At least one publication on statistical methodology in a top tier statistical journal
  • At least one oral presentation at a statistical conference
115

Principal Statistician Resume Examples & Samples

  • Provide broad statistical support, including trial design, protocol and CRF development on specific studies
  • Lead production and quality control of randomization, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents
  • Perform sample-size calculations, generate randomization lists and write statistical methodology sections for inclusion in study protocols
  • Review publications and clinical study reports
  • Provide statistical input into Data Monitoring Committee (DMC) activities, including development of DMC charters and analysis plans
  • Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review
  • Understand regulatory requirements related to the specific therapeutic areas and the implications for statistical processing and analysis
  • Understand, apply and provide training in extremely advanced and sometimes novel statistical methods
  • Contribute to the development and delivery of internal and external statistical training seminars and courses
  • Review position papers based on current good statistical practice
  • Interact with clients and regulatory authorities
  • Support of Business Development, e.g. by actively contributing to study design considerations in internal and client meetings, providing and discussing sample size scenarios, support of budget and proposal development, attending and preparing bid defense meetings
  • Travel to, attend and actively contribute to all kind of client meetings as appropriate (e.g. discussing analysis concepts, presenting and discussing study results)
  • Additional responsibilities as defined by supervisor/manager
  • Good analytical skills and project management skills
  • Professional attitude and Attention to detail
  • Thorough understanding of statistical issues in clinical trials
  • Ability to clearly describe advanced statistical techniques and interpret results
  • Familiarity with regulatory/research guidelines on drug development, GCP, and statistical principles (especially ICH guidelines)
  • Prior experience with SAS programming require
  • Ability to work independently and Good mentoring/leadership skills
  • Good business awareness/ business development
  • Experience with CDISC is a plus
116

Early Career Bachelor s Level Statistician Resume Examples & Samples

  • Bachelor’s degree in Statistics, Biostatistics or Mathematics with at least 1 year of experience
  • Demonstrated data manipulation and data management skills
  • To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status
117

Entry Statistician Resume Examples & Samples

  • Manage large datasets; manipulate and merge data files from different platforms, clean, aggregate data and perform procedures to ensure the quality of data/analysis products
  • Bachelor's degree in Statistics, Biostatistics, or Mathematics with 0-3 years’ experience in the aforementioned areas of study. Spring/summer 2016 graduates are welcome to apply
  • Exposure to SAS and Excel (Sample of SAS code required, but we will provide training.)
  • Inquisitive and detail oriented. Must enjoy investigating details and figuring out the solutions to problems (e.g. digging through the details to determine why two values that should match do not)
  • Good writing communication skills as evidenced in the cover letter
118

Senior Statistician Resume Examples & Samples

  • Lead the implementation of department standards and process improvements
  • PhD in statistics or biostatistics or equivalent with minimum of 5 years of relevant experience or MS in statistics or biostatistics or equivalent and minimum 7 years of relevant experience
  • Extensive knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions
  • Manual dexterity to operate office equipment i.e. computers, phones, etc
119

Principal Statistician Resume Examples & Samples

  • Statistical and mathematical modeling in health-related studies, especially for NIH, FDA, and CDC
  • Demonstrated expertise in statistical sampling, power analysis, logistic regression analysis, sensitivity and specificity analysis, linear and non-linear models with fixed and random effects
  • Experience in designing large-scale studies with complex designs, including longitudinal epidemiology studies implemented in multiple sites while accounting for within-person and within-site correlations in both responses and predictors
  • Experience analyzing data collected from surveys with complex designs, including issues with weighting, missing data, and imputation
  • Consultation on survey operational issues that impact statistical design and analysis such as randomization plans, data management SOPs, and data capture software platform development
  • Organizes and manages statistical component of successful research projects, leading other staff where economically beneficial
  • Establishes and maintains professional relationships with clients
  • Trains, mentors and provides technical leadership and direction for developing staff
  • Provides responsible, competent technical advice to management
  • Participate in multiple, assigned research projects with a minimum of supervision and within time and budget constraints
  • Support preparation, presentation, and follow-up on research grant and contract proposals
  • Contribute to scientific dissemination of study results to the internal research team, to clients, in peer-reviewed journals, and in presentations at scientific conferences/meetings
  • Plan and carry out appropriate professional self-development activities
120

Statistician Resume Examples & Samples

  • You have a master degree or higher in a relevant field (statistics, mathematics, agronomy, biotechnology) and relevant working experience with data analysis
  • You show a keen interest in the general field of data analysis, statistics and machine learning
  • You are experienced in the design of experiments, analysis of variance and regression techniques (mixed models), preferably applied to the field of agronomy, breeding or biotechnology
  • Furthermore, you are willing to explore applicability of non-familiar or novel statistical methodology and you have experience in computer programming and database management. Knowledge of R will be highly appreciated
  • You are fluent in English and you are a team player who shows flexibility in sharing workload
121

Geospatial Statistician Resume Examples & Samples

  • Candidates must hold either a Masters or PhD in Statistics, Mathematics, Computer Science, Engineering, or a related discipline with a focus on statistics and machine learning
  • Strong training in geospatial statistics and time series
  • Thorough knowledge of experimental design, data analysis, and data management is desirable, along with demonstrated programming skills in R, Python, or MATLABAbility to solve challenging and complex analytical problems, and willingness to extend own statistical and mathematical interests into new fields of research and development
  • Excellent entrepreneurial thinking, innovation, and real world problem solving skills
  • Strong communication skills for effective interactions with senior business/R&D stakeholders as well as peer groups and team members
  • Background and training in crop science or quantitative genetics, and experience in designing and executing agricultural field trials
  • Experience with analyzing large and complex data sets, presenting results, and building predictive models
  • Experience with GIS-based modeling, especially ESRI product line
122

Statistician Resume Examples & Samples

  • Minimum of a Masters Degree in Statistics, Biostatistics, Bioinformatics or a Statistics related discipline OR ability to complete Masters by June 2016
  • Two or more years of related experience
  • Two or more years of experimental design experience (including academic work)
  • Demonstrated computational skills and experience in R, SAS, or another language for programming and statistical applications
  • Prior experience in each of the following: experimental design, general and generalized linear mixed models, non-linear mixed models, multivariate statistics, and non-parametric analysis
  • Strong problem solving and critical thinking skills
  • Experience presenting results to varied audiences & influencing project direction/strategy
  • Demonstrated ability to foster & maintain relationships at all levels of the organization
  • Proven consulting and problem solving skills
  • Five or more years of experimental design experience (including academic work)
  • Background and experience in manipulating large databases
  • Background and experience in computational statistics, computational mathematics, predictive analytics/machine learning, and/or process optimization
  • Background and experience in Bayesian applications and/or image analytics
  • Programming skills in R, SAS, Python and/or SQL
  • Knowledge and experience in plant biology, breeding, agronomy, and/or genetics
  • Prior experience in a research environment
  • Prior experience in the agricultural industry
123

Clinical Pharmacology Associate Director Statistician Resume Examples & Samples

  • Responsible for statistical aspects of the analysis of pharmacokinetic data from Phase II and Phase III studies and exposure-response analyses
  • Provides study design input and consultation for clinical endpoint assessments and sample size planning for clinical pharmacology studies
  • Prepares, or oversees the preparation of statistical sections of clinical protocols in collaboration with Clinical Pharmacology personnel, and with Clinical Research, as deemed necessary
  • Conducts, or oversees the conduct of, analyses to support clinical study reports, abstracts, manuscripts and other documents to support the marketing of Teva Global R&D products
124

Statistician Resume Examples & Samples

  • Improve the functionality and existing logic of several toolsets that are critical for decision support and strategic investment for ManTech
  • Perform a variability study using production data from a fiber placement program underway with COI Ceramics (a subsidiary of Orbital ATK)
  • Employ knowledge of RESTful APIs to create a novel access layer over an existing legacy technology Simple Object Access Protocol (SOAP) , which will increase the performance of system calls by several orders of magnitude
  • Rely on existing code libraries for all languages used (Python, Javascript, etc.) in order to minimize technology risk while introducing new methods of data capture and retrieval
  • Develop use cases to capture existing decision processes for technology investment, and then employ Visual Basic for Applications (VBA) to automate the tools used in these decision processes
  • 2-5 years of related statistical analysis experience
  • Probabilistic methods to construct a parametric variability study
  • Statistical tools - Linear regression, logistic regression, Bayesian methods, design of experiments, time series analysis, ANOVA/MANOVA/ANCOVA, multivariate statistics, sampling techniques, log-linear models, survival analysis, optimization
  • Data Analysis – ability to find patterns in data, data munging, experience with large real-life datasets, knowledge of machine learning, nearest neighbors, decision trees, association rules, neural networks, ensemble methods, and random forests
  • RESTful APIs & Simple Object Access Protocol (SOAP)
  • Codes: Python, R, JavaScript, Git, Django, SQL, MySQL, VBA, MongoDB, Java » C++, PHP, SAS, Mathematica, Visual Basic for Applications
125

Mathematician Statistician Resume Examples & Samples

  • An active SECRET clearance is required for this position.*
  • Position Summary
  • Education and Experience
  • Knowledge, Skills, Abilities
126

Statistician Resume Examples & Samples

  • Uses predictive modeling, statistics, trend analysis and other data analysis techniques to collect, explore and identify right data to be analyzed from internal and external sources
  • Assists business analysts with finding patterns and relationships in data
  • Builds predictive models using data, tests the model on results outside of the sample size and verifies model in real world
  • Determines relevant quantitative methods for solving client issues
  • Proactively and effectively interacts with other internal groups throughout FIS
  • Shares knowledge with other members of analytics team
  • Evaluates and improves internal tools and processes
  • Projects may include testing strategy development for marketing initiatives, supporting product lifecycle decisions, evaluating product utilization, supporting fraud detection, etc
  • Other related duties assigned as needed
  • Possesses strong understanding of internal business segment (stakeholders) and may require presentation skills
  • Typically requires experience in relational database structures, research methods, sampling techniques and system testing
  • Proficient in working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in SAS, WEKA, SPSS, as well as C/C++/SQL, Perl or Java
127

Statistician Resume Examples & Samples

  • Initiating, planning, executing and controlling segments of an organization's statistical studies or projects
  • Serving as a specialist for a particular statistical function or in statistics pertaining to a specific subject-matter field
  • Analyzing factual information to recognize and evaluate significant and critical factors in investigations to recommend solutions to complex problems
  • Initiating, formulating, planning, executing and controlling major statistical studies or continuing projects for an organization's primary research program or statistical project
  • Serving as a statistical consultant or advisor on broad research, administrative or operational programs
  • Establishing technical regulations and instructions for the conduct of statistical work
128

Senior Statistician Resume Examples & Samples

  • Supervise and support junior team members in their tasks related to the projects. Share knowledge and experience
  • Cultivate consistent across regions execution of projects
  • Provide data pulls and reports directly from Oracle Database. Write efficient SQL and PL-SQL queries in complex Very Large Scale database environment. Monitor time and capacity used during query execution, design efficient query execution plans
  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures
  • Minimum of 7 years of experience in SAS software
  • Strong programming skills (VBA, SAS 4GL, SQL, R)
  • AML Compliance experience gained in a financial institution
129

Assistant, Statistician Resume Examples & Samples

  • Evaluate supplied data to ensure validity, applicability, and accuracy
  • Identify trends and statistical analyses, including information in the form of graphs, charts, and tables
  • Provide guidance and instructions for data providers
  • Strong commitment to meet our customer requirements and enhancing customer satisfaction through quality and accurate reporting of data
  • Build, maintain, administer and support Program Operation databases
  • Timely development and distribution of required reporting instruments
  • Engage in and promote knowledge sharing
  • Assist in the start-up of new programs
  • Develop and refine departmental processes and procedures to enhance efficiency and cost effectiveness
  • Prepare various reports, briefs and summaries relating to Program Operations and projects
  • Ensure all specified policies, practices and procedures are complied with, and follow Company policies and procedures for completion of assigned duties
  • Proficient in Microsoft Office with advance knowledge of Excel and Powerpoint
  • Strong verbal and written English language communication skills
  • Ability to quickly learn and understand company operating contracts
  • Ability to work alone as well as in teams
  • Ability to work with data and people at all levels within a range of departments
130

Statistician Resume Examples & Samples

  • Oversee definition and implementation of compound-level database (including derived database), analysis and reporting standards. Improve or use existing standards to ensure maximization of global integratibility and interpretability of data and enhance efficiency at compound level. Coordinate with Data Management, Programming, Clinical and PV to target high quality databases and specifications at compound level
  • Plan and direct compound level analysis and reporting activities (eg, tables, listings, graphs) including work of other statisticians and programmers
  • Identify compound level vendor requirements and participate in the evaluation/selection of vendors. Provide compound level analytical oversight of statistical activities of external vendors to ensure timeliness and quality of analysis data and statistical outputs. Review and approve key statistical vendor deliverables
  • Lead evaluation and implementation of alternative analysis methodology and data presentation techniques
  • Experience with advanced study design experience or at least one NDA/CTDs or other global regulatory submissions
131

Industrial Statistician Resume Examples & Samples

  • Be energized by providing statistical consulting and support for a world-class manufacturer and collaborating on cross-functional teams
  • Recognize the importance of building and maintaining strong interpersonal relationships
  • Presenting and teaching statistical concepts and tools to Gore associates
  • Collaborating and consulting with a wide variety of individuals and small teams across the business units, with primary support for engineers, scientists and business leaders
  • Collaborating with other members of the statistical team
  • Utilizing and supporting statistical software (JMP®)
  • Master's degree in Statistics; willing to consider recent or upcoming graduates
  • Ability to effectively partner and collaborate with individuals and teams
  • Must be a native Mandarin speaker and be fluent in spoken and written English
  • Must be a Chinese citizen
  • Doctoral (PhD) degree in Statistics
  • Industry, consulting, or internship experience
  • Knowledge of JMP statistical software
  • Knowledge of Microsoft Office (Word, Powerpoint, Excel)
132

Statistician Resume Examples & Samples

  • Masters degree in Statistics is required; a PhD in Statistics is preferred. Willing to consider recent or upcoming graduates
  • Industry, consulting, or internship experience is preferred
  • Knowledge of designing experiments, such as response surface, blocking, screening, and split-plots designs
  • Knowledge of basic and advanced statistical methods such as ANOVA, regression, linear models, variance components and statistical process control
  • Excellent communication and presentation/teaching skills, as well as good technical writing skills
  • Knowledge of JMP® statistical software is preferred. Knowledge of Microsoft Office (Word, Powerpoint, Excel) is desirable
133

Senior Statistician Resume Examples & Samples

  • A professional statistician (including a Statistics BSc/ MSc / PhD), with design and analysis consultancy skills and knowledge across a broad range of applications
  • Ability to develop strong relationships with internal members of clinical sciences
  • Improving knowledge in, and keeping up with advances in, statistics relating to clinical trials (and in wider areas) and leading procedural changes where necessary
134

Senior Statistician Resume Examples & Samples

  • Expert and Statistics Support
  • Lead project statistical support ensuring that needs are fully met by expert and timely statistical consultancy and support
  • Input into clinical research programmes and study protocols. Independently provide study design consultancy, decide on statistical analysis methodology, specifying the protocol statistical considerations section including the analysis plan
  • Review statistical considerations sections, results sheets and clinical study reports
  • Collaborate on research and development projects advising on study design, analysing and reporting results
  • Specify table templates, write analysis dataset specifications, analyse data, write clinical study reports, results sheets and data on file reports, disseminate study results with study teams and brand managers, write manuscript results sections for publication and critique competitor promotional material
  • Develop, test and run SAS programs for analysis datasets, report tables, graphics and statistical analysis, liaising with statistical programmers as appropriate
  • Deliver training and awareness sessions to research and clinical research staff at all levels
  • Apply high standards of occupational Health & Safety in the workplace to comply with company policy and procedures
135

Principal Quality Statistician Resume Examples & Samples

  • Assure the product development, manufacturing and release process with best practices in statistical data analysis in order to insure correct decisions on key questions in line with regulatory requirements
  • Immediately support validation study designs for statistical validity and data analysis
  • Immediately assess in-process and final product disposition sampling rationale based on 510K/PMA claims
  • Defend current data treatment practices in case of a regulatory body audit
  • Troubleshoot product and process deviations on an interim basis as issues occur through data analysis
  • Adhere to 21 CFR Part 820 Medical Device regulations
  • Advance the QA function in terms of data analysis capability
  • Maintain records of data treatment and analyses techniques for audit purposes
  • JMP, Excel, R and/or SAS
  • Applied statistical background
  • Excellent consulting skills. Must have good listening skills and provide appropriate guidance to individuals seeking statistical help
  • Excellent presentation and explanation skills
136

Senior Statistician Resume Examples & Samples

  • Develop, implement, document, and support scoring models and segmentation solutions
  • Interact with clients during all phases of the sales process. Includes helping sales teams to identify and qualify opportunities, generate presentations and act as analytics subject-matter-expert on calls and on-site presentations
  • Provide post-sales support in the form of model delivery, cost benefit analysis, on-going monitoring and application consulting
  • Leverage internal analytical and data assets to develop new solutions for customer acquisition and retention
  • Provide internal training to sales, marketing and other functions periodically in order to enhance understanding of analytical tools and solutions
  • 2 plus years’ experience conducting and applying statistical analyses for customer acquisition and retention
  • Conceptual thinking skills complemented by a strong quantitative/ data science orientation. Ability to design and evaluate experiments
  • Demonstrated ability to work as part of a team to achieve desired goals and objectives, management experience a plus
  • Ability to drive agreement through intellect, interpersonal, and negotiation skills. Ability to clearly present and explain statistical concepts to non-technical audiences
137

Statistician, Consumer Analytics Resume Examples & Samples

  • MS in Statistics or related field
  • SAS and SQL skills required. Strong analytical and problem solving skills
  • 3-5 years of experience with predictive modeling, segmentation, and testing
  • Demonstrated ability to work under pressure and to deliver in timely manner
138

Mathematical Statistician Resume Examples & Samples

  • Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) with laboratory courses in a related discipline, or six (6) years related scientific training and experience in lieu of degree
  • Foreign degrees must be evaluated for U.S. equivalency
  • A minimum of five (5) years of related experience
  • Mastery of advanced mathematical and statistical theories, principles, concepts, and practices
  • Ability to apply knowledge to statistical procedures, complex mathematics, data or quantitative analysis, complex sample designs, data collection techniques, reduction of data from multiple sources, research and experimentation techniques
  • Experience with computer techniques such as: numerical and statistical analysis, probability theory, wave propagation modeling, and/or numerical simulation
  • Knowledge of state-of-the-art statistical or mathematical tools
  • Publications of statistical studies in the area of specialization
  • Ability to write and/or present comprehensive statistical reports and scientific manuscripts based upon the data collected and analyzed
  • Ability to perform a comprehensive evaluation of the statistical properties of current or prospective complex sample designs or estimation methods
  • Ability to make recommendations to scientists about the viability of proposed new methodologies or the interpretation of test results
  • Comprehensive knowledge of statistical theory and methods for biomedical research
  • Comprehensive knowledge of statistical computing, including the ability to use a variety of statistical software packages in one or more computing environments (mainframes, work stations, or personal computers)
  • Ability to exercise judgment and originality to solve novel, obstinate, and obscure problems that require extending existing methods, developing new mathematical or other approaches
  • Ability to work under time constraints without compromising data quality
  • Ability to formulate and explore new theories and phenomena and develop, test, and advise on mathematical statistics theoretical concepts and new or improved technologies and methods
139

Senior Statistician Resume Examples & Samples

  • Collaborating with researchers on experimental design, data analysis, interpretation and communication of data evidence for research, development, and/or marketed product needs in Janssen R&D or other J&J organizations
  • Appropriate research and application of statistical methodology is essential
  • Co-authorship of publications and presentations is also expected
  • A Master’s degree in Statistics or a related field and a minimum of 4 years of experience or a PhD in Statistics or a related field and a minimum of 0- 2 years of experience is required
  • Proficiency of R and/or SAS statistical software is required
  • Demonstrated strong written and oral communication skills are required
  • Knowledge of linear mixed models and multivariate analysis is required
  • Some exposure to modern data analysis techniques such as data visualization, robust statistics and analysis of high-dimensional data is preferred
  • Demonstrated experience managing multiple projects concurrently is required
  • Knowledge of non-linear modelling, Bayesian methodologies and generalized mixed modeling is desirable.Biostatistics
140

Statistician Resume Examples & Samples

  • BS/BA Required. Masters degree in statistics or biostatistics required
  • 2-3 years of experience are required
  • Should have strong skills in statistical principles, data analysis, comupting (epsecially SAS and R), and strong communication skills
141

Principal Statistician Resume Examples & Samples

  • Analyze quantitative imaging biomarker data in accordance with accepted metrological guidelines for submission to regulatory agencies for approval/qualification for use as an endpoint in a clinical trial
  • Work directly with sponsor statisticians in the development of image-related analysis methodologies which may be used in submission to regulatory agencies or for internal sponsor decisions
  • Provide expert advice to sponsor statisticians and imaging experts in imaging-related issues including statistical method recommendation, risk management, and parameter estimation
  • Develop reader performance algorithms and tools to monitor reader performance in a clinical trial. Methods will go beyond simply measuring and reporting discordance
  • Develop image analysis tools that incorporate new or novel algorithms not found in current analysis tools
  • Work directly with study team operations and data management to perform necessary study team specific analyses, planned or ad hoc, advise on protocols and charters
  • Be an integral member of IMI study teams including proposal writing, bid defenses, Kick-Off-Meetings, Charter development, team meetings with the sponsor, ad hoc meetings with the IMI project team and other responsibilities as appropriate. Responsibilities are primarily statistical but may include other project-related needs
  • As a member of staff, the employee is expected to embrace and contribute to our culture of process improvement with a focus on streamlining our processes adding value to our business and meeting client needs
  • As a Manager, the employee is expected to recognize the importance of and create a culture of process improvement with a focus on streamlining our processes adding value to our business and meeting client needs
  • The individual must demonstrate a high degree of initiative in anticipation and development of statistical tools and analyses that may be needed by either IMI or the sponsor
  • MS/Ph.D. Statistics or 5 years equivalent experience in a research setting involving the use of imaging in statistics
  • Working knowledge of medical imaging modalities, endpoints and procedures
  • Working knowledge of variance component estimation and interpretation including both method of moments and maximum likelihood methods
  • Expert knowledge of linear mixed effects model application
  • Expertise in SAS or R, including macro development, is necessary
  • Working knowledge of image segmentation methods
  • Preferred: familiarity with any or all of the following: NonMEM /PROC NLMIXED, Matlab
  • Excellent verbal and written communication skills are required
  • Must be open to possible travel (approximately 10%) domestic and/or international
142

Senior Statistician Resume Examples & Samples

  • Lead the statistical activities for a trial or publication activities
  • Provide scientific input into protocols by advising on most appropriate study design, hypothesis testing strategy, sample size calculations and analysis methods
  • Responsible and accountable for transcribing statistical analysis plans (SAPs) into computational solutions for the statistical programmer to implement (specifications of derived variables, specification and development of statistical computing solutions for inferential statistical analyses, tables and listings templates for the first interpretable results (FIR) and clinical study reports (CSR)) of Phase I-IV clinical trials
  • Responsible and accountable for SAP execution across multiple studies, third party reporting activities, exploratory analyses and additional analyses to support publications for individual clinical trials
  • Ensure high quality for all assigned deliverables and processes and ensure audit-readiness
  • Maintain efficient collaborates with internal and external customers with support of clinical trial services (CTS) management
  • Ensure adherence to timelines for statistical deliverables
  • Develop and work towards project / study standards and specifications following internal guidelines
  • Make certain that documents and specifications are consistent and work towards company standards by providing input into case report forms (CRFs) and data structures tables, listings and figures for phase I-IV clinical trials and submission activities
  • Participate in the selection of clinical research organizations (CROs) and supervise the trial activities of the CROs as needed
143

Senior Statistician Resume Examples & Samples

  • Collaborating with researchers on experimental design, data analysis, and the interpretation and clear communication of results. An in-depth knowledge of statistics, modeling, and statistical computing are essential to this role, as is the use of statistics in decision-making
  • Individuals in this role will provide technical leadership to colleagues and senior leaders across the organization, and, over time, grow into leadership roles in process improvement, training, standards development, or an area of technical expertise
  • Leadership and/or participation in the authorship of presentations and publications and are also expected
  • The successful candidate must be constantly eager to expand their statistical, communications, and computing expertise
  • The Senior Statistician must also enjoy the process of building long-term collaborative relationships with research investigators, be at ease with either a non-rigid or rigid structure to projects, and be organized in handling numerous projects simultaneously
  • A Master’s degree in Statistics or related Quantitative Sciences field and a minimum of 2 years’ experience OR a PhD in Statistics or related Quantitative Sciences field is required
  • Proficiency in the use of statistical software, such as R and /or SAS, is required
  • Knowledge of both linear and non-linear models and multivariate analysis are required
  • Some experience with modern data analysis techniques such as data visualization and analysis of high-dimensional data is preferred
  • Experience developing web applications to perform analytics using tools such as Shiny, Python/Django or JavaScipt is preferred
  • Experience with applications of Bayesian statistical techniques such as Gibbs Sampling and the use of implementation tools such as JAGS or STAN is preferred.Biostatistics
144

Statistician Resume Examples & Samples

  • Provide statistical input into the generation of healthcare evidence by incorporating state-of-the-art statistical methodologies into resolution of client problems, in line with Health Technology Assessment agency technical specifications
  • Contribute to the statistical planning and design of studies by working with the Senior Statistician / Specialist Team staff /Project Managers both in projects with a primary statistical deliverable as well as contributing to projects such as cost effectiveness model generation
  • Contribute to/advise on feasibility assessments of proposed study designs and analysis plans
  • Statistical project management and delivery
  • Assist in the development and delivery of training to specialist teams to promote understanding and interpretation of statistical methodologies and to expand the statistical skill base across DRG Abacus
  • 25 days holiday (increasing with length of service)
  • Pension scheme (5% of annual salary from day 1)
  • Bonus scheme
  • Long term disability insurance
  • Childcare vouchers
145

Statistician Resume Examples & Samples

  • Exploratory data analysis
  • Distributions and distribution fitting
  • Linear and non-linear regression
  • Categorical data analysis
  • Generalized linear models
  • Classical design of experiments
  • Hierarchical/multi-level modeling
  • Monte Carlo simulation
  • Bayesian data analysis and Markov chain Monte Carlo
  • Quality control
  • Multivariate analysis
  • Deterministic model emulation
  • Computer design of experiments
  • Risk analysis
  • Longitudinal data analysis
  • Functional data analysis
  • Data mining
146

Statistician, Community Operations Resume Examples & Samples

  • 2+ years of experience in a quantitative analysis role
  • BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field (advanced degrees are a plus)
  • Strong SQL skills and the ability to use tools such as Python, R, Excel, or Tableau to work efficiently at scale with large data sets
  • Advanced knowledge of experimentation and statistical methods
  • Ability to deliver on tight timelines and move quickly while maintaining attention to detail
  • Work closely with cross-functional teams to execute on decisions
  • Self-motivated with the ability to work independently
  • Strong communication and organization skills
147

Statistician / Lecturer Resume Examples & Samples

  • With particular focus on multivariate statistical techniques and modeling applied to measurement methods and data analysis of official statistics and indicators, prepares and updates training curricula and programmes, for basic and advanced-level training on official statistics covering internationally accepted frameworks, standards and classifications and methods; best practices in design and implementation of statistical production processes; and analyses and use, communication, and dissemination of key statistics and indicators
  • Conducts professional training based on sound training models and techniques for face-to-face and internet-based e-learning training modalities aimed at increasing knowledge and improving skills of government statisticians and officials in official statistics in accordance with internationally accepted frameworks, standards and classifications and methods on data collection and processing methods, sampling applications and survey methodology, statistical data analysis, production and interpretation of statistics and indicators; and application of information and communications technology in collection, analysis and dissemination of data
  • Prepares and updates contents of standardized training materials in the subject matter area of applications of multivariate statistical techniques and modeling for measurement and data analysis of official statistics and indicators for face-to-face and e-learning training sessions, based on good practices and state-of-the-art tools, knowledge and methods of professional training and in consultation with experts in the subject matter
  • Represents SIAP in international, regional and national intergovernmental forums, expert groups, and conferences relating to statistical development and training; and
  • Undertakes other duties assigned by the Director
148

Statistician / Lecturer Resume Examples & Samples

  • With particular focus on agricultural and rural statistics, prepares and updates training curricula and programmes, for basic and advanced-level training on official statistics covering internationally accepted frameworks, standards and classifications and methods; best practices in design and implementation of statistical production processes; and analyses and use, communication, and dissemination of key statistics and indicators
  • .Conducts professional training based on sound training models and techniques for face-to-face and internet-based e-learning training modalities aimed at increasing knowledge and improving skills of government statisticians and officials in official statistics in accordance with internationally accepted frameworks, standards and classifications and methods on data collection and processing methods, sampling applications and survey methodology, statistical data analysis, production and interpretation of statistics and indicators; and application of information and communications technology in collection, analysis and dissemination of data
  • Prepares and updates contents of standardized training materials in the subject matter area of agricultural and rural statistics for face-to-face and e-learning training sessions, based on good practices and state-of-the-art tools, knowledge and methods of professional training and in consultation with experts in the subject matter
  • Provides professional assistance in the management of training component of the Asia-Pacific Regional Action Plan (RAP) to implement the Global Strategy for Improving Agricultural and Rural Statistics and in organizing training courses, experts meetings, and consultative processes for the training component
  • Represents SIAP in regional, national, international and intergovernmental forums, expert groups, and conferences relating to statistical development and training; and
149

Statistician Resume Examples & Samples

  • Work with limited direction to provide statistical solutions to complex problems
  • Lead statistical research initiatives and collaborations
  • Develop new collaborations and research proposals that lead to new projects
  • Provide direction to and mentor junior scientists and students
  • Leadership of advanced development and application of statistical methods
  • Demonstrated record of presenting research results in scientific settings
  • Experience in developing and applying advanced statistical methods
  • Experience with statistical applications in the physical and engineering sciences
  • Experience with distributed and shared memory parallel programming
150

Statistician Resume Examples & Samples

  • Current work includes epigenome-wide statistical association analyses of environmental determinants of childhood asthma and allergy, pulmonary function and smoking effects
  • We have data from a genome-wide methylation platform (Illumina Infinium 450K Methylation BeadChip) on over 1,000 samples in a large U.S. pre-birth cohort that will be used to examine epigenetic effects of maternal exposures during pregnancy and associations between methylation patterns at birth and health outcomes in children
  • Other projects include cohort studies of adults and older individuals with comprehensive follow up in which Illumina 450K data are also available
  • Applicants will work on one or more of these projects performing primary analysis and generation of results documents
  • Applicants must have extensive experience with epidemiologic and statistical data analysis using the R programming language
  • Strong quantitative skills and practical experience working with large scale datasets and applying epidemiologic tools are also necessary
  • We expect qualified candidates to be excellent analysts in all features of regression modeling, causal inference testing, and QTL (quantitative trait loci) association testing
  • Experience with analysis of high dimensional epigenetic data, particularly the Illumina 450K data, is required
  • Experience in systems biology and network methods is relevant, including the application of network modeling algorithms
  • Past experience in Respiratory Epidemiology is a plus. 0-two years of experience required
  • PhD required
  • Ability to work independently and as a contributing member of multiple project-driven teams
151

Statistician Resume Examples & Samples

  • Perform data management steps and genetic epidemiology analyses in R/Bioconductor to implement data
  • Master’s level training in genetics, epidemiology or biostatistics (or the equivalent)
  • Relevant knowledge of genetic epidemiology and biostatistical methods, including analysis of gene expression microarray and RNA sequencing data
  • Strong analytical skills and the ability to independently conduct genetic data analyses
  • Prior experience in the genetic epidemiology of respiratory disease is required analysis plans developed by the principal investigator (PI) and co- investigators
  • Assist with the preparation of grant submissions and scientific paper
  • Assist with the preparation of poster and power point presentations
  • Assist with project documentation and other aspects of project management as requested by the PI
  • Prior experience in the genetic epidemiology of respiratory disease is required
  • Strong knowledge of and experience with R/Bioconductor software
152

Optimized Operations Statistician Resume Examples & Samples

  • Participating in extensive training such as Lean Six Sigma, project management and leadership development, enabling them to be placed into a manufacturing location with enhanced ability to contribute quickly to process improvements that assist the entire supply chain
  • Providing leadership on assigned projects with mentoring to develop proficiency using established methods, practices, and concepts that are heavily weighted by Six Sigma methodology and focused on Lean Manufacturing Principles
  • Responsible for conducting assigned, well-defined technical tasks usually associated with Process and Product Understanding within a manufacturing environment
  • Complete 5 weeks of O2 training and lead at least one Green Belt project
  • Recent graduates (of any age) who are in the last year of completing a Bachelor’s degree or higher in Statistics from an accredited university, or have completed such a degree within the last three years
  • Minimum of a 3.0 cumulative GPA on a 4.0 scale
  • Previous internship, co-op, and/or industry work experience is required
  • Recent graduates (of any age) who are in the last year of completing a Bachelor’s degree or higher in Statistics with a dual degree in Chemical, Mechanical or Industrial Engineering from an accredited university, or have completed such a degree within the last three years
  • Previous or current 3M and/or other manufacturing intern experience
  • Previous experience working in a manufacturing environment
  • Excellent oral and written communication skills along with strong computer skills
  • Ability to work on cross-functional teams
  • Demonstrated leadership ability, organizational skills, process control, and statistical knowledge
  • Proposed start date for this position is June 2017
153

Senior Statistician Resume Examples & Samples

  • A minimum of a Master’s Degree in Statistics or related field combined with 2+ years of experience is required
  • A PhD in Statistics is strongly preferred
  • Basic knowledge of SAS programming and at least some other significant statistics software (e.g., S-Plus, PASS) is required
  • Oncology industry experience is preferred but not required
  • Strong written and oral communication skills are required
  • The ability to work independently is required
  • The position is located in La Jolla, CA and may require up to 10% (international/domestic) travel.Biostatistics
154

Statistician Resume Examples & Samples

  • Conduct univariate and multivariate analytical projects to identify key opportunities, make recommendations for additional quality programs and analytics
  • Researches methodologies and conducts advanced metric reporting
  • Analyzes trends to recommend program, process and operational improvements
  • Prepares detail and summary level reports including written interpretation of analytic results
  • Presents result to management, including data driven business recommendations and alternatives
  • Required: Master's Degree in Statistics, Math or Public Health
  • Ability to drive multiple projects
  • Demonstrated time management and priority setting skills
  • Ability to create appropriate and impactful presentations based on audience needs
  • Ability to work as part of a team
  • Strong knowledge and proficiency in Microsoft Excel and Access
  • Knowledge of SQL, and relational databases, Cognos, and CRAMS required
  • SAS
  • Statistical analysis within EG SAS, and Unix environments
155

Statistician / Programmer Resume Examples & Samples

  • 3+ years of relevant experience required; a combination of education and experience will be considered
  • Experience programming in C++, numerical analysis, and software development required
  • MS degree strongly preferred
  • Strong attention to detail; organizational skills strongly preferred
  • Excellent ability to work independently and balance multiple projects and tasks simultaneously
  • Strong ability to work as part of a team
  • Strong writing and oral communication skills
  • Experience working with large data sets with demonstrated analytic skills to problem solve effectively
156

Devices Project Statistician Resume Examples & Samples

  • Minimum of a MS degree in Statistics or related scientific field with 5 years of experience OR Ph.D. in Statistics or related scientific field
  • Ability to participate in and facilitate decision-making
  • Technical knowledge in statistics and the ability to apply statistical methods to solve business problmes
  • Ability to write technical reports with statistical content and provide summary presentations of statistical results to management.3-5 years of industry experience using statistics
  • Experience using JMP, Minitab, and SAS software
  • Experience performing Monte Carlo simulations
157

Operations Research Analyst / Statistician Resume Examples & Samples

  • Be passionate about applying operations research, statistics, and data analytics to real world problems
  • Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn
  • Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise
  • Evidence of knowledge of principles, concepts, methods and tools for conducting operations research, statistical analysis, or data analytic studies
  • Have experience in using tools and technique to do mathematical modeling, optimization, statistics, probability modeling, and simulation
  • Demonstrated ability to use at least one modern programming language, simulation, optimization, or business intelligence platform (e.g., SAS, R, MATLAB, Python, Java, CPLEX, iThink)
  • Ability to obtain a security clearance from the US Government
  • Three or more years experience working with/for agencies and/or departments of the US Government (e.g., FAA, DoD, DoE, DHS, Treasury, IRS); or
  • One or more years relevant professional experience with a technical MS degree or PhD
  • Current Secret security clearance or suitability
158

Bio Statistician Resume Examples & Samples

  • Biostatistics lead for manufacturing validation and development of product release specifications, as required
  • Acts as a resource regarding statistical issues including experimental design, sample size, statistical analysis and interpretation of results
  • Provision of technical solutions and advice on statistical methodology and principles
  • Responsible for development of Statistical Analysis Plans, to include statistical methodology, statistical programming procedures, definition of derived variables, data-handling rules and mockups
  • Responsible for Biostatistics deliverables within assigned projects
  • Develop standard operating procedures for Biostatistics deliverables, ensuring activities are appropriate for effectively and efficiently delivering quality output within specific project
  • Write program code to analyze data using statistical analysis software
  • Write detailed analysis plans and descriptions of analyses and findings
  • Demonstrates understanding of statistical concepts and methodologies
  • Carry out all activities according to appropriate SOPs, working within the framework of the Quality Management System
  • Ensures biostatistical methods, equipment and practices are in compliance with current regulatory regulations and guidelines
159

Statistician Resume Examples & Samples

  • REQUIRED: Master or Ph.D. with a MINIMUM of 5 years of solid experience and demonstrated skills in the planning, analysis and reporting of data from clinical trials
  • Proficiency with MicroSoft Office (Word, Excel, PowerPoint)
  • Statistician (not statistical programmer) to help support the Medical Affairs Biostatistics Team in solid tumors
  • Provide statistical support to the Medical Affairs Department as directed
  • Provide statistical support for publications, presentations, posters at medical meetings and any other requests not covered in the clinical study report, including data mining, meta-analysis, and support for data-driven analyses. Interact with authors, referees and in-house reviewers in the preparation of publications, presentation and posters
  • Provide key inputs for study design, sample size, and analysis methods during the protocol development stage
  • Participate in all study start-up activities which include review of CRF design, CRF completion guidelines, data review plan, study monitoring plan and all other study execution related activities
  • Interact with and provide guidance to the CRO in the preparation of the statistical analysis plan, table shells, analysis dataset specifications, analysis programs, and outputs for the clinical study report
  • Provide statistical reviews of proposed design and analysis of protocols for investigator initiated trials
  • Work closely with different departments in the company (regulatory, clinical, marketing, data management, health economics, etc.) and provide statistical support for a variety of functional groups
160

Statistician, Test Design Resume Examples & Samples

  • At the minimum, must have a Master’s Degree in a quantitative discipline (i.e. Statistics, Applied Mathematics, Actuarial Science, Econometrics, etc.)
  • Must have 2+ years of experience test design experience in any industry
  • Preferably have model development experience using tools like SAS, SPSS, R or like tools
  • Will transfer existing H1 Visa and provide excellent relocation assistance
161

Statistician Resume Examples & Samples

  • Bachelors degree in Statistics, Mathematic, Actuarial Science or Econometrics
  • Proficient in Microsoft office products – Excel, Word and Power point mostly
  • Basic / intermediate SAS, SPSS, R or other statistical packages will be considered as an advance
  • Highly detail oriented, strong commitment to timely execution of tasks
  • Ability to work in a virtual environment
  • 1-2 years experience in the survey research industry will be considered as an advantage
  • Communication Skills
  • Creative Problem Solving
  • Critical Thinking
  • Organizational Skills (Time Management & Prioritization)
  • Team Work Skills
162

Statistician Resume Examples & Samples

  • Executes characterization, verification, and validation studies
  • Programs statistical software
  • Executes data Management
  • Provides statistical expertise for R&D
  • Timely completion of assigned Tasks
163

Senior Statistician Resume Examples & Samples

  • Makes recommendations or resolves technical, quality, and timeline issues
  • Provides continuous feedback to peers and leaders
  • Proactively seeks ways to gain broader experience/perspectives and focuses on a robust professional development plan
  • LI-SH1
164

Senior Statistician Resume Examples & Samples

  • Represent statistics function in support of clinical studies
  • Author and provide input on relevant sections of clinical research protocols including endpoint specification, study logistics, sample size determination/justification, randomization, statistical analysis plans, interim analysis, and stopping rules (if applicable)
  • Manages statistical output for clinical studies; reviews and participates in finalizing and obtaining approval of final manuscript or final clinical study reports
  • May be accountable for 3 or more concurrent clinical studies
  • Knowledge of SAS software and general computing in the pharmaceutical/medical device area as it relates to clinical trials in research and development
  • Strong working knowledge of statistical data analysis and data management principles
  • Knowledge of the drug discovery and development process and clinical trial methodology
  • Good oral and written communication
165

Principal Statistician Resume Examples & Samples

  • Perform, advise, and review protocol development, sample size calculation, protocol and CRF review
  • Provide expert statistical input into and review of statistical deliverables (i.e. analysis plans, table shells, programming and table specifications, data review, tables, listings, figures and statistical sections for integrated reports) and Data Management deliverables (i.e. database design, validation checks and critical data)
  • Serve as primary contact as an expert in one or more therapeutic area including knowledge of therapeutic guidelines
  • Write publications
  • Advise on regulatory issues including integrated summaries of efficacy and safety, and liase with regulatory authorities on behalf of customer as required
  • Fulfill the Advisor/Lead role for a group of studies or integrated summaries. May fulfill the role of regulatory submission lead
  • Manage project budget and resource requirements. Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage scope, and provide revenue and resource forecasts for groups of studies
  • Lead the review of RFPs and QIPs, prepare proposal text and participate in bid defense meetings for regulatory submissions
  • Develop customer relationships
  • Provide training, guidance and mentorship to lower level and new staff
  • Excellent written and oral communication skills including grammatical/technical writing skills
  • Excellent attention and accuracy with details
  • In-depth knowledge of applicable clinical research regulatory requirements; i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines Familiarity with moderately complex statistical methods that apply to applicable clinical trials
  • Advanced knowledge of complex statistical methods that apply to Phase I-IV clinical trials
  • Strong individual initiative
  • Strong working knowledge of SAS computing package
  • Familiarity with other statistical computing packages such as nQuery
  • Strong commitment to quality
  • Ability to effectively manage and lead multiple tasks and project
  • Ability to lead teams within department and influence interdepartmental team activities
  • Proficient at solving complex scientific problems
  • Initiative in expanding into new technical areas or expanding in-house technological capabilities in a given area
  • Extensive experience in regulatory authority interactions
  • Working knowledge in regulatory guidelines relating to statistical analysis, study reports, and statistical components of submissions
  • Working knowledge of relevant Data Standards (such as CDISC/ADaM)
166

Statistician Resume Examples & Samples

  • Maintain records of research activities; conformance to standards of responsible conduct in research and adherence to University standards. 5%
  • Discuss with supervisor regarding results and other job related activities; Where applicable, prompt disclosure to supervisor regarding possession and desire to distribute research materials and potentially patentable discoveries derived from job activities. 5%
  • Prepare results of the analyses for publishing in journal acceptable format. 5%
  • Assist supervisor with other research projects, when applicable. 5%
167

Mathematician / Statistician Resume Examples & Samples

  • A undergraduate degree in mathematics, physics or engineering or any other subject with a strong mathematical component
  • A higher degree in a related subject, or equivalent work experience
  • A strong background in statistical or mathematical theory and implementation
  • Programming skills in languages such as Java, C++, C# or Python
  • Ability to think innovatively and solve complex problems
  • Ability to communicate well, both verbally and in writing
  • Self motivated, with an ability and desire to work collaboratively with other organisations to create new opportunities
  • Familiarity with stochastic differential equations
  • Experience of spectral methods, principal component analysis, polynomial chaos
  • Knowledge of quasi Monte Carlo and multi-level Monte Carlo techniques
  • Experience of Monte Carlo and deterministic methods for solving the Boltzman transport equation
  • Experience of nuclear data and associated covariance data
  • Expereince of scientific Fortran
  • Experience of working in multifunctional teams
168

Statistician, Associate Resume Examples & Samples

  • Experience in statistical modeling, machine learning, & data mining (6 months to 1 year)
  • Hands on experience on working with at least 3 of the following: Regression Models, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics
  • Proficiency in statistical and other tools/languages - SAS, SPSS, R, QlikView, Tableau
  • Ability to learn & think creatively to solve real world business problems
  • Advance Excel Level
  • Bachelor's Degree in Statistics / Mathematics / Physics or related scientific disciplines
169

Statistician Resume Examples & Samples

  • Master's degree in Statistics or Biostatics with 1 year relevant post-master's industry experience in data analysis of public health, clinical research or social sciences data
  • Demonstrated expertise in data analysis, statistical consulting/collaboration and technical writing
  • Ability to write sections of collaborative manuscripts and/or full papers
  • Proficiency in SAS or related statistical software
  • Excellent communication skills---both oral and written
  • Experience with psychometric validation, patient-reported outcomes, factor analysis and/or score creation is helpful, but not required
170

Statistician Resume Examples & Samples

  • Good verbal & written communication skills
  • Ability to convey information in a clear, concise manner
  • Able to evaluate information through both qualitative and quantitative means
  • Understand forecasting and big data analytics
  • Near expert proficiency with MS Office Suite
  • Understand relational databases and how to request data
  • Green or Black Belt 6-Sigma a plus
171

T&E Statistician / Specialist Resume Examples & Samples

  • Technical, developmental and operational test and evaluation of complex systems, with an emphasis on demonstrated skills with applications of statistics
  • Assist government to formulate study methods and conducts qualitative and quantitative analyses of complex T&E problems
  • Review and develop analytical and technical input to evaluation documentation to ensure accurate, timely and essential information is provided to decision makers
  • Perform analysis when appropriate with the use of T&E tools and techniques such as statistical inference, data mining, modeling, simulation, and mathematical programming
  • Assist the governement in the preparation of input for Congressinal hearings and other legislative interactions, providing authoritative advise and counsel on T&E issuesvaluation
  • Review acqusition programs and write reports addressing T&E adaquacy of test design, accuracy of results, statistical validity, interpretation of conclusion and qualify of individual and component program T&E strategy and management
  • 12-14 years of qualified experience
  • Demonstrated T&E experience with applied reliablity and statistics
  • Ability to apply, recommend, teach and mentoro T&E reliability best practices
  • Ability to develop and communicate effective and efficient T&E reliability design for inclusion with Test and Evaluation Master Plans (TEMPs) and Operational Test Plans (OTPs)
  • Ability to forsee challenges in the area of T&E relating to Research & Development and acquisition efforts, and provide alternative courses of action (CoAs) to achieve objectives
  • Ability to communicate complex, technical issues to non-technical audience
  • Knowledge of federal acquisition processes and procedures
  • Ability to work independently with challenging customers
  • M.S. Degree from an accredited university in Biology, Physics, Engineering, Operations Research, Statistics or Computational Mathematics and modeling with at least 12 years of related work experience
  • Level II Test and Evaluation Certification or Equivalent - Level III T&E equivalent is preferred
172

MQE Statistician Resume Examples & Samples

  • A working knowledge of a wide variety of applied statistical methods, including categorical data analysis, statistical sampling methodology and applied statistics for quality and productivity improvement, such as SPC, design of experiments (DOE), multiple regression and ANOVA, nonlinear regression, logistic regression, random/mixed/fixed effects and variance components modeling, statistical reliability methods, nonparametric statistics, survey design and analysis, re-sampling methods, mathematical statistics, and others
  • Desire to identify and/or work on data analysis projects that will improve product (NAND, DRAM, etc.) yield and quality, reduce costs and cycle time, and optimize business practices
  • Ability to work with small, big, structured, semi-structured, and unstructured data
  • Project management skills that will be used to lead domestic and global teams, define project objectives, create and assign tasks, and track project completion and benefits
  • Ability and experience teaching short-courses in applied statistics to engineers and technical management
  • Capable of visually summarizing and presenting advanced analytical results and monetary benefits to middle and executive management
  • Flexible and accommodating but willing to voice opinions and make recommendations
  • Ability to influence decision makers by turning data into valuable information
  • At least 2 years of experience applying a variety of statistical methods
  • Experience applying statistics in the semiconductor industry is preferred
  • Experience with R, JMP, and/or other statistical software including scripting capability for automating analyses
173

Scientist Statistician Resume Examples & Samples

  • Write study protocols and reports for the validation of analytical methods and instruments as well as of manufacturing process (manufacturing capability index, batch to batch variability)
  • Establish product specifications based on statistical evaluation of data from batch to batch variability
  • Perform stability studies protocols, assess stability studies results according to recognized international guidelines such as ICH and come up with recommendations
  • Define design of experiments in order to characterize product and correlation between key parameters in order to identify root causes in case of product performance issues
  • Train scientists and engineers on statistics and make presentation of statistical evaluations and results to Senior Management
  • Reduced Risk Products (“RRPs”) is the term we use to refer to products with the potential to reduce individual risk and population harm in comparison to smoking cigarettes. PMI’s RRPs are in various stages of development and commercialization, and we are conducting extensive and rigorous scientific studies to determine whether we can support claims for such products of reduced exposure to harmful and potentially harmful constituents in smoke, and ultimately claims of reduced disease risk, when compared to smoking cigarettes. Before making any such claims, we will rigorously evaluate the full set of data from the relevant scientific studies to determine whether they substantiate reduced exposure or risk. Any such claims may also be subject to government review and authorization, as is the case in the USA today
174

Early Career Statistician Resume Examples & Samples

  • Assist with survey sampling and analysis tasks
  • Bachelors degree and at least 3 years' post graduate experience or Master's degree and at least 1 year of post graduate experience in Statistics, Biostatistics, or Mathematics
  • Experience with SAS and Excel (Sample of SAS code required.)
  • Demonstrated data manipulation, data editing, and data management skills
  • Effective skills in communication, team collaboration,
  • Excellent writing skills as evidenced by cover letter and writing samples
  • Experience in survey statistics, sampling design, or contract research
175

Statistician Resume Examples & Samples

  • Collaborate with representatives from other functions to plan and execute relevant experiments/studies/analyses, for example in the role of a study statistician
  • Lead virtual cross-functional sub-teams within Data Sciences and Analytics
  • Implement standard processes for the analysis of routine experiments / studies / integrated analyses
  • Develop the statistical analysis plan for the experiment, study, or integrated analyses as appropriate
  • Facilitate the overall organization and coordination of statistical activities for a specific experiment, study or integrated analysis
  • Assume responsibility for the production and accuracy of the statistical analysis and interpretation of the results of experiments / studies / integrated analyses
  • Work independently at routine and more complex statistical questions and tasks
  • Oversee and ensures accurate and timely delivery of statistical work outsourced to external providers
  • Master’s in Biostatistics, Statistics or Mathematics
  • Strong communication skills and ability to work both, independently and collaboratively
  • Good knowledge of statistical programming languages (including SAS)
  • PhD in Biostatistics, Statistics or Mathematics
176

Statistician Resume Examples & Samples

  • Proficient in at least two of R, SAS, SPSS, or STATA
  • Skills in descriptive analysis, modeling of data, and graphic interfaces
  • Outstanding ability to communicate technical information to both technical and non-technical audiences
  • Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator)
177

Statistician / Hours / Day / Bwh Medicine Resume Examples & Samples

  • Perform epidemiologic analyses in SAS and, potentially R, to implement data analysis plans developed in collaboration with the investigator (PI) and co- investigators
  • Perform data management and data documentation as needed to accomplish the above analyses
  • Participate in project team meetings
  • Conduct literature searches
  • Assist with the preparation of grant submissions, including ultimately developing his/her own grant materials
  • Assist with the preparation of manuscripts, including his/her own manuscripts
  • Assist with the preparation of poster and power point presentations, including his/her own presentations
  • Assist with project management as needed
  • Doctoral level training in epidemiology or biostatistics (or the equivalent)
  • Relevant knowledge of epidemiologic and biostatistical methods
  • Strong scientific background
  • Excellent writing ability
  • Experience with and relevant knowledge of studies of children's environmental health
  • Excellent proficiency in verbal and written communications
  • Ability to work independently and as a contributing member of research teams
  • Strong knowledge of and experience with SAS
  • Proficiency with Microsoft Excel, Word and PowerPoint
178

Senior Statistician Resume Examples & Samples

  • MSc. in Statistics or equivalent qualifications
  • At least 4-6 years of experience working as a statistician within the pharmaceutical industry
  • Experience with the statistical software package SAS
179

Statistician Resume Examples & Samples

  • Collaborate with Enterprise Advanced Analytics and Yield Management teams to provide mathematical modeling, simulations, design randomized experiments and randomized sampling plans, analyze experimental or survey results, and forecast future events
  • Analyze data with the goal of informing decision makers. Subject areas can cover a wide range of our business including finance, sales, marketing, field operations, care, customer valuation, etc
  • Partner with Lead Economist to better understand external economic factors combined with Spotlight business results to provide key stakeholders with predictive and prescriptive analytics
  • Acts collaboratively and decisively with a 'OneSpotlight' mindset
  • Plans and executes multiple projects involving all aspects of business intelligence solutions and data, including business intelligence analysis and data exploitation
  • Takes business intelligence to the next level to support business decisions and recommend best practices and policy in business intelligence implementation, maintenance, and data quality
  • Contributes to a variety of projects related to development, testing, and implementation of new and modified business intelligence systems in an efficient and cost-effective manner
  • Leads analysis and recommendations relating to organization's optimization and testing efforts
  • Customizes business intelligence report contents and views using Excel, Access, and other tools to meet the requirements of internal business customers
  • Works with team and customers to define business requirements, resolve technical issues, and provide training
  • Works cross-functionally to implement key projects. Interfaces with other departments to leverage data for their respective business needs
  • Tracks web site usage using Omniture and other web tracking tools
180

Statistician Resume Examples & Samples

  • Builds predictive models using data, tests the model on results outside of the sample size and verifies the model in the real world
  • Proactive and effective interaction with other internal groups throughout FIS
  • Shares knowledge with other member of the analytics team
  • Projects may include: testing strategy development for marketing initiatives, supporting product lifecycle decisions, evaluating product utilization, supporting fraud detection, etc
  • Must possess strong understanding of internal business segment (stakeholders) and may require presentation skills
  • Typically requires experience in relational database structures, research methods, sampling techniques, and system testing
  • Proficient in working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in SQL, SAS and Python
181

Statistician Resume Examples & Samples

  • Conducts continuous independent research on methods of analysis in government, industry, and academics to keep abreast of the state of the art, keep senior leadership apprised of the advances and applicability to programs
  • Performs on a team as the lead statistician for global drug trends, developing statistical research projects, plans and schedules, gathering and analyzing data, reviewing the work of other team members, making recommendations, documenting findings and conclusions, and identifying potential issues for future statistical research projects
  • Identify and maintain interagency agreed-upon approaches to best utilize available datasets in drug movement analysis
  • Review and if necessary update the methodology used in the Interagency Assessment of Cocaine Movement (IACM) twice a year ensuring that the IACM methodology stands up against analytical and statistical rigor
  • Review all datasets used in drug movement analysis for completeness and accuracy
  • Assist interagency consumption analysis in reviewing current consumption estimates and assist in annual calculation of consumption estimates for all drugs
  • Assist DEA statisticians and scientists in tracking phases or steps in cocaine production and transportation cycle within South America, Central America, Mexico, and the Caribbean
  • Bachelor degree and 8+ years of relevant experience
  • Currently possess an active TS/SCI security clearance
  • Understanding of a statistical program language such as SPSS, SAS, R, Python, MatLab, Mathematic, or VBA
  • MS Excel Knowledge
  • Experience working in the IC
  • Proficient in Spanish language
  • Master’s degree in Math, Statistics, Economics, or Operations Research
  • Bachelor degree and 6+ years of relevant experience
182

Analytics Statistician / Predictive Modeler Resume Examples & Samples

  • Serves as the subject matter expert for identifying and implementing predictive analytics practices across the company to help drive strategic decisions for the business
  • 3 plus years’ experience leveraging advanced statistical concepts and techniques, data mining, predictive modeling and other analytics to improve business outcomes
  • Strong working knowledge with at least one statistical modeling software (e.g. SAS, SAS Enterprise Miner, R, Python, Alteryx, SPSS, RapidMiner, etc.)
  • Ability to work in a collaborative environment focused on team results
  • Strong interpersonal, communication, business acumen and presentation skills
  • Strong analytical problem solving, visualization, and decision making skills combined with a passion and empathy for customers
  • Ability to internalize and communicate complex concepts in a straightforward manner to a non-technical audience
  • Demonstrated thoroughness, follow-up and attention to detail
  • Working knowledge of Microsoft Office Suite, with stronger emphasis on Excel, in addition to Word and PowerPoint
  • Experience with statistical software, visualization tools (e.g. Tableau), structured and unstructured data, and large scale data manipulation
183

Statistician Resume Examples & Samples

  • Limited travel is expected
  • Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer
  • If you are newly hired, the documentation you present for purposes of completing the Department Homeland Security (DHS) Form I-9 on your entry-on-duty date will be verified through the DHS "E-VERIFY" system. Federal law requires the use of E-VERIFY to confirm the employment eligibility of all new hires. Under this system, the new hire is required to resolve any identified discrepancies as a condition of continued employment
  • Selectee must be able to obtain and maintain a security clearance. If selected you may be subject to a National Agency Check and Inquiry (NACI) and a credit report inquiry
184

Software Engineer / Statistician Resume Examples & Samples

  • Shall have experience developing software using Matlab
  • Shall have experience developing software using either C or C++
  • Shall have experience developing software using either Python or a scripting language
  • Shall have at least minimal experience in planning and accomplishing goals
  • Shall have at least minimal experience with complicated tasks and providing consultation on complex projects as top-level contributor or specialist
  • Shall have a firm grasp of modern computer programming with experience in programming and development of application software for complex systems and software testing
  • Shall have experience developing solutions integrating and extending FOSS/COTS products
  • Shall have experience gathering and analyzing materials and data
  • Shall have demonstrated technical writing skills and have generated technical documents or presentations
  • Shall have experience conducting literature reviews
  • Experience as a Software Engineer in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
  • Experience with programming in the R statistical computing and graphics toolkit
  • Experience designing and developing automated analytic software, techniques, and algorithms
  • Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications
185

Senior Statistician Resume Examples & Samples

  • Contribute to efficient study design, prepare statistical consideration sections and provide input into other protocol sections
  • Prepare statistical analysis plans including table shells
  • Analyze clinical trial data; work with programmers to provide tables, listings and graphs, including ad hoc validation
  • Provide ad hoc data driven analyses
  • Support preparation of manuscripts
  • Provide project requirements to programmers
  • Manage outside CROs and consultants as needed
  • Escalates issues to functional management as necessary
186

Senior Statistician Resume Examples & Samples

  • Masters in Biostatistics / Statistics / Epidemiology with at least 2 years or Ph.D. with at least 0 years experience with data collection/statistics for clinical trials
  • Experience in medical device or pharmaceutical industry
  • Strong skills in statistical analysis methods/tools and SAS programming
  • Effective communication skills (oral and written), with the ability to work effectively with technical and non-technical persons alike
  • Advanced coursework, research, or hands on experience in the areas of pharmacoepidemiology, signal detection, sampling, or statistical de-identification would be a plus
  • Demonstrated ability to perform complex univariate and multivariate statistical analysis using statistical models
  • Ability to perform meta-analysis a plus (for literature review)
  • Computer literacy in MS Word, Excel, PowerPoint etc
  • Oracle Clinical system knowledge a plus
  • Ability to prioritize and multitask
  • Ability to speak, write and understand English to comply with written procedures, instructions, SOPs and other documents
  • Ability to redact statistical reports (including statistical results interpretation)
  • Ability to work as a team and with autonomy will be appreciated
187

Prin Statistician Resume Examples & Samples

  • 7+ years of experience in the design and analysis of clinical studies, or 4+ years with a Ph.D. degree
  • High level of competency in Windows environment and with Microsoft Office Tools (Word, Excel)
  • Strong interpersonal, customer-focused and collaborative skills
  • Ability to lead projects and/or people
  • Ability to manage multiple projects concurrently
  • Demonstration or evidence of leadership competencies
  • Advanced programming skills in SAS
  • Knowledge of clinical trial methods and execution in a regulated environment
  • Demonstration of strong oral and written communication skills, including experience presenting clinical trial results and statistical methods
188

Statistician Resume Examples & Samples

  • University level in Statistics (minimum MS degree or equivalent) with specialization in biostatistics, clinical research or epidemiology
  • REQUIRED YEARS OF EXPERIENCE
  • Internship (> 6 months) or first experience in a Bio-Statistician role
  • REQUIRED KNOWLEDGE
  • Experience with statistical programming in SAS or another statistical analysis package
  • French speaking
  • Specific coursework in Clinical Trials or Epidemiology
  • High level of competency with Microsoft Office Tools
  • Demonstration of good oral and written communication skills
189

Senior Statistician Resume Examples & Samples

  • Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a track record of applied experience
  • Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability
  • Ensures application of appropriate statistical methods and generation of accurate and reproducible results working independently or by providing specifications to statistical programming colleagues
  • Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content
  • Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting
  • Understands and aligns with relevant regulatory guidelines
  • Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head
  • Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards
  • Follows best practices for Data Integrity
  • Acquires and demonstrates knowledge in pharmaceutical research and development strategies and execution
  • Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support
  • Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects
  • Provides critical input to the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Participates as a member of professional organizations, such as attending meetings sponsored by professional organizations
  • Demonstrates full proficiency in SAS or R, as well as a working knowledge of other relevant computational tools as required
190

Senior Statistician Resume Examples & Samples

  • A PhD in Statistics or related field is required
  • Proficiency with statistical software such as SAS, R or SPlus is required
  • Up to 10% travel is required.Biostatistics
191

Project Manager, Fair Lending Statistician Resume Examples & Samples

  • Experience: Minimum of 4 years in applied statistics, economics or other quantitative areas developing, testing, implementing models or performing statistical analysis preferably in financial services or regulatory industry
  • Must have a thorough understanding of regression analysis, univariate and multivariate statistics and statistical indicators such as r-squared, chi squared, T statistic, and normal distribution
  • Demonstrated experience with managing and manipulating large datasets
  • Strong communication and presentation skills with the ability to write and present technical papers/documents in a clear, cogent manner to a wide range of audiences (both technical and non-technical)
  • Strong ability to work both collaboratively and independently
192

Senior Statistician Resume Examples & Samples

  • Prepares conclusions and predictions based on data summaries
  • Prepares reports, charts, tables, and other visual aids
  • May provide guidance and work leadership to less-experienced statisticians
  • GDITHCSD
193

Associate Lead Statistician Resume Examples & Samples

  • Maintain and improve statistical knowledge
  • At least 5-7 years of experience working as a statistician within the pharmaceutical industry
  • Experience with a broad range of statistical tasks
  • In-depth knowledge of biostatistical methods
194

Statistician Consulting Manager Resume Examples & Samples

  • Statistical Analysis and Techniques (complex sampling and modeling)
  • Data mining and machine learning algorithms
  • Business and Operations Analysis within marketing, operations, or risk analysis using quantitative techniques
  • Visualization techniques and tools
  • Advanced analytics techniques (regression, simulation, etc.)
  • Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques
  • Healthcare, Insurance, Financial Services, Customer an industrial Products and Services, Manufacturing or Telecom Industries
  • Analyzing large and complex data sets to solve business challenges and present insights to non-analytics minded individuals
  • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback
  • Identifying and addressing client needs, building relationships with clients, developing requests for information, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various management levels and external
  • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance
  • Applying analytical techniques correlated to business value and selecting the appropriate analytical techniques for the problem at hand
  • Leading teams to generate a vision, establishing direction and motivating members
  • Creating an atmosphere of trust, leveraging diverse views, coaching staff, and encouraging improvement and innovation
195

Principal Statistician Resume Examples & Samples

  • Plays a leadership role in the development and review of the study synopsis, protocol, statistical analysis plan, clinical study report, and other regulatory submission documents, ensuring accurate and statistically valid deliverables
  • Identify and interact with external statistical experts for issues related to study design, methodology and results
  • Advanced knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics
  • Good knowledge of statistical programming languages (including SAS), software, techniques, and processes. Working knowledge of UNIX operating systems, and common software products and technologies used in conjunction with SAS (e.g., Microsoft OfficeÒ products)
196

Statistician Resume Examples & Samples

  • Expertise using statistical analysis software
  • Experience with design and user interface of REDCap
  • One or more years of experience in statistical consulting
197

Statistician Resume Examples & Samples

  • Knowledge of the principles, methods, and procedures of statistical analysis
  • Strong quantitative and data analysis skills
  • Effective communications skills
  • May require proficiency in the use of one or more specific technologies, such as SAS
198

Clinical Statistician Analyst Resume Examples & Samples

  • Minimum 3 year experience, preferably within medium-large pharma or CRO, developing reports/dashboards in TIBCO Spotfire
  • Strong knowledge of relational databases (e.g., Oracle) and SQL/PL-SQL programming
  • Strong Project Management skills
  • Ability to work with diverse user groups, lead discussions on and creation of User Requirements and Design documentation
  • Support creation and maintenance of standard report libraries. Lead effort to promote standardization and help reduce study/project specific programming
  • Support creation of standardized data marts/data warehouse
  • Strong knowledge of industry specific data standards e..g., CDASH, CDISC ODM/SDTM
  • Liaise with other technical personnel in related functions as needed
  • Intermediate knowledge and understanding of Regulatory Guidelines for the use of computer systems in clinical studies
  • Intermediate knowledge of clinical Data Management and Clinical Programming methodologies as well as current and emerging global industry standards
  • Working knowledge of global standards related to clinical study data management activities (CRF design, data standards, database design, coding and coding dictionaries, etc.)
  • Intermediate knowledge of Research & Development and an understanding of regulatory guidelines/requirements related to R & D (e.g., ICH, GCP, safety reporting)Search Jobs US
199

Statistician Resume Examples & Samples

  • Master’s Degree in biostatistics, statistics or closely related field required
  • 3+ years of related experience required
  • Experience programming in related software such as SAS, R, or STATA required
200

Senior Statistician Resume Examples & Samples

  • Minimum 4 years experience in the pharmaceutical industry with 2+ years experience writing SAPs and working closely with teams preparing Tables, Listings, Figures and CSRs
  • Masters degree in Statistics, Biostatistics, or related field with strong medical statistics background
  • Knowledge of ICH and FDA Guidances, great communication/presentation skills, attention to detail, ability to multi-task, and ability to provide insight into the current methods being used for clinical trials
  • Proven ability to build, manage and foster a team-oriented environment
  • Desire to work in an information systems environment
  • Excellent leadership and management skills
201

Social Scientist / Statistician Resume Examples & Samples

  • Your contact details and personal data
  • Your highest degree
  • Your language skills
  • Contact details for 2–3 references
202

Marketing Statistician Resume Examples & Samples

  • BA degree with preference for MBA with analytic emphasis or graduate degree in a quantitative field such as statistics, probability or operations research
  • 3+ years’ experience applying various statistical methods such as multiple regression, logistic regression, CHAID, decision trees and multivariate statistical methods in the workplace
  • Knowledge of SAS, SPSS, R, SQL, or similar relational database preferred
  • Hands on experience in predictive modeling and advanced analytics, preferably in the financial industry with focus on marketing models that support acquisition, cross sell and next best product offering
  • Strong written and oral communication skills, proven ability to convey the results of complex analyses in a clear and concise manner using business language
203

Statistician Resume Examples & Samples

  • Execute key modeling components including model design, computer programming, data extraction, model estimation, model validation, model documentation, implementation, and monitoring
  • Clearly understand and communicate options and tradeoffs with senior management
  • Understand the core tradeoffs and biases in selecting a model development sample, and execute on data preparation by extracting and building datasets from complex data warehouses
  • Design randomized experiments to gather data needed to build still better models
204

Statistician Resume Examples & Samples

  • Defines large-scale technical projects and sets technical approaches
  • Makes decisions and/or recommendations that guide the successful completion of major programs
  • Collaboratively contributes to the definition of Laboratory strategies and direction, leads technical decision-making at a national level and above
  • Develops and implements project management plans, and manages large high-risk projects involving multiple tasks, capabilities, and organizations
  • Leads national and complex-wide peer review
  • Will shape the direction of statistical research and applications at Los Alamos, the National Labs, and in the statistical community generally
  • Leadership of advanced development and application of novel and advanced statistical methods, and the ability to envision and develop advances in broad capability areas
  • Proven record of successful management of complex projects
  • Track record of developing successful large-scale collaborative proposals; ability to advocate for incorporation of statistics in new opportunities and initiatives
  • Recognized resource for peer-review in the statistical community and in large organizations
  • Invests in recruitment and development of next-generation statistical talent for long-term organizational success
  • Experience with advanced statistical computing, including distributed and shared memory parallel programming
205

Nuclear Material Statistician Resume Examples & Samples

  • Experience with statistical applications in the physical and/or engineering sciences
  • Familiarity with NMCA concepts and practices
  • Demonstrated ability to develop and deliver technical presentations in oral or written formats
206

Statistician Resume Examples & Samples

  • University degree of statistics or mathematics with focus on statistics, Ph.D. is of advantage
  • Experience in the statistical evaluation of clinical studies
  • Extensive understanding of statistical concepts and methods
  • Good knowledge of the ICH guidelines and regulatory requirements
  • Fluent knowledge of English language
  • Self-confident appearance and strong communication and negotiation skills
207

Senior Statistician Resume Examples & Samples

  • Provide statistical input in planning translational experiments to adequately support proof of concept, development and life-cycle management of drugs
  • Provide statistical input on biomarker-related sections in clinical study-related and regulatory documents (protocol, SAP, genomics data specs, IND/NDA)
  • Act as an integral member of project team, collaborate effectively with other team members, and attend project team meetings
  • Contribute to biomarker assay development and validation
  • Advise and educate biomarker/clinical scientists on the adequate use of statistical and other quantitative techniques
  • Stay up-to-date on, apply and develop cutting-edge data analysis tools and statistical techniques when needed
  • Ensure timeliness and quality of all statistical deliverables
  • Proven knowledge of the role of biomarker in drug development, strong interest in life sciences and proven knowledge of general statistical software packages (e.g. SAS, R/S plus/MATLAB, JMP)
  • Broad interest and ability in applying statistics to facilitate the quantitative decision-making process
208

Principal Statistician Resume Examples & Samples

  • Promote innovative design and analysis methodology
  • Generally requires PhD in statistics or biostatistics with at least 8 years of relevant pharmaceutical industry experience or MS in statistics or biostatistics with at least 10 years of relevant pharmaceutical industry experience. For statisticians with exceptional talent who have demonstrated core capabilities of a Sr. Principal Statistician, 6 years of pharmaceutical industry experiences with a PHD may be considered
  • Experience with at least one NDA/CTDs or other global regulatory submissions
209

Statistician Resume Examples & Samples

  • Responsible for assuring that data for statistical analyses are accurate
  • Creates statistical analysis plans
  • Predictive modeling for product recommendations and to improve CRM campaign performance
  • Provides accurate and timely answers to routine questions from clients
  • Effectively mentors non-statistical peers with regard to basic statistical methodology and departmental operations
  • Mining data to develop and automate dashboards to track protocol efficacy and business performance using SQL and Microsoft reporting services
  • Responsible for programs that are accurate, efficient and well documented
  • Works collaboratively with peers to develop quality protocols, schema, and reports per agreed timelines
  • Works with project team to decide on appropriate study design and statistical methodology for routine designs
  • Generate analysis datasets, tables, figures, and listings to support the analysis of clinical studies data using SAS, R, or SPSS
  • High degree of technical competence and communicative ability, both oral and written
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines
  • Competent in experimental design, descriptive and inferential statistics, biometrics and computer systems
  • Experience using and programming statistical software such as SAS, R, SPSS, STATA, Excel, and Access, etc
  • Bachelor’s degree with 2-4 yrs. exp
  • Master’s degree or MBA with industry experience preferred
210

Senior Statistician Resume Examples & Samples

  • 75% Biostatistical Support
  • Bachelor's degree (Master's preferred) in biostatistics, statistics, or relevant field with 3–5 years of professional experience with a minimum two years of relevant experience
  • PhD degree in statistics or biostatistics highly desirable, with a minimum two years of relevant experience
211

Survey Statistician Resume Examples & Samples

  • Utilize research methodology and data collection tools to ensure that appropriate data are gathered
  • Assist in planning statistical study design for planned projects
  • Conduct data analyses including but not limited to descriptive statistics, factor analyses, generalized linear models, random effects models, analysis of survey data, and other statistical methods
  • Manipulate and extract data from appropriate sources for analysis using SAS
  • Prepare preliminary interpretations of analyses for sharing with scientific and public audiences, project teams, and/or department management
  • Prepare reports in accordance with the analytical results, including providing support for the development of manuscripts
  • Use data and other information related to performance and evaluation for the dissemination of scientific information and other program data in the form of presentations, reports, slides, and other materials (e.g. newsletters, federal documents)
  • Master’s degree in Biostatistics, Statistics or related field with a minimum of 8 years of experience
  • Strong experience in survey analysis and design, quantitative analysis and data interpretation
  • Experience with advanced statistical analysis and programming tools such as SAS, STATA, SPSS, or R
  • 3 years of experience with SQL Server and writing SQL queries
  • 2 years of Public Health experience with CDC experience a plus
  • Proficiency with MS Excel, Access
212

Statistician Resume Examples & Samples

  • Organizing and maintaining large datasets and data libraries in a variety of formats for use in statistical analysis
  • Critically evaluating data for quality indicators such as completeness, accuracy, and applicability for certain statistical analysis techniques, applying understanding of relevant research area nomenclature
  • Choosing and implementing statistically sound analyses on diverse data sources
  • Performing simulation studies and interpreting results
  • Interacting with teams of scientists including, but not limited to laboratory scientists, engineers, mathematicians, and computer scientists
  • Proactively managing expectations and meeting deadlines in a fast moving, agile environment
  • Conducting and participating in assigned projects with minimum of supervision and within time and budget constraints
  • Interacting with co-located team members as well as geographically diverse team members on a daily basis
  • A minimal amount of domestic travel is anticipated
  • Work experience as a professional statistician
  • Strong desire to work in a multi-disciplinary environment solving problems in a variety of application areas
213

Statistician, Predictive Analytics Resume Examples & Samples

  • Master's degree (M. A./M.S.) in Quantitative discipline (e.g. Math, Statistics, Economics, Bio-Statistics, Operations Research); PhD preferred
  • Master’s degree with at least 2 years of industry experience performing advanced quantitative analyses, or PHD’s degree with statistical research assistant or consultant experience
  • Ability to manipulate, analyze, and interpret terabytes of data. Ability to organize findings and translate into actionable insights using original or innovative techniques
  • Ability to apply statistical methodologies such as time series models, mixed models (random and fixed effects), simultaneous equations, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis
  • Competency in at least one statistical programming language
  • Ability to respond to common inquiries from customers or business stakeholders
  • Ability to effectively present information to top management, public groups, and/or boards of directors
  • Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables
  • Knowledge of web data preferred
214

Senior Statistician Resume Examples & Samples

  • Provide quality, statistically valid analysis and related output
  • Take a proactive role in analysis design and execution
  • Manage multiple projects concurrently
  • Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework
  • Proficiency with various statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical softwar
  • Proficiency in MS Office; including PowerPoint, Word, Excel and Outlook
  • Strong analytic thought process and ability to interpret findings
  • Highly motivated and collaborative team player with strong interpersonal skills
  • Professional judgment
215

Statistician Resume Examples & Samples

  • Master’s degree in a highly quantitative field (e.g., Mathematics, Economics, Statistics, etc. )
  • Minimum 2 years professional experience in analytics including the development of predictive models
  • Proficient with the use of at least one of the following programming languages: SAS, R, or Python
  • Proficient with SQL
  • Experience in Financial Services, Fraud Detection, or Risk Management preferred
  • Highly detail-oriented; works with the mantra that the quality of his/her work reflects strongly on his/her personal “brand.”
  • Highly organized with proven ability to multi-task
  • Capable of being objective and giving/taking constructive feedback
  • Capable of contributing independent analysis and researching appropriate statistical methods for assigned projects
  • E-Commerce experience preferred
216

Senior Statistician Resume Examples & Samples

  • Minimum 5 years’ experience in biostatistics or epidemiology
  • Expertise and mastery of the SAS language will be critical to success in this position
  • Experience with other statistical packages such as Statistical Package for the Social Sciences (SPSS) is also required
  • Must be proficient in the use of Windows and Microsoft Office Suite including, Word, Excel, Outlook and Power Point
  • Ability to apply and interpret analytical and mathematical tools through the programming environment to address complex issues involving multiple table structures with complex query designs
217

Statistician Resume Examples & Samples

  • This role will enable the statistician to become an expert in the data and statistical applications associated with product engineering, econometric forecasting, service optimization, and quality trending
  • The statistician will help identify and prepare the data needed to optimize the business value of analytical results and statistical algorithms for connected Stryker products
  • The statistician will be asked to
  • Apply an innovative, data-driven, and analytical thought process into how data associated with connected products can be utilized at Stryker to solve problems and enable intelligent insights
  • Design and prototype specifications for analysis-ready data-sets and statistical applications
  • Verify the correctness, accuracy and precision of analysis-ready data-sets and statistical applications applicable to connected products
  • Assist multi-disciplinary teams with identifying research objectives and data required to support these research objectives for connected products
  • Be a technical resource to drive and understand the utilization and visualization of data associated with connected products within individual and across multiple divisions
  • Assist with the creation, implementation, and maintenance of data and analytics’ governance initiatives
  • Assist with creation, implementation and operationalization of statistical learning / machine learning algorithms in a cloud-based environment
  • Manage multiple projects at varying stages of maturity towards an end goal of connecting to the LINK Platform
  • Respond to data-related queries in an expert, timely, and efficient manner
218

Statistician Resume Examples & Samples

  • Support the analytical development of UKGI Underwriting teams through data gathering, analysis and modelling under the direction of the Head of Analytics
  • Provide regular insight and analysis, using multiple data sources
  • Exceptional numerical ability and data manipulation
  • Naturally inquisitive with the ability to challenge data
  • Previous experience of the insurance/financial industry is not essential
  • Understand customer needs and knowledge of insurance business products and services
  • Strong presentation and communication skills and ability to engage non-technical audiences
  • Experience of deploying different model types
  • Knowledge of Emblem and at least one of the following statistics and data manipulation packages (SAS, R, Python) is desirable but not essential
219

Quality Statistician Resume Examples & Samples

  • Provide statistical testing and analysis of large data sets to recommend appropriate sampling stratification requirements based on precision and the ability to detect high risk sub populations within the data sets
  • Comprehend internal and external statistical drivers that influence effective operation, management, and execution of quality department resourcing, planning and, programming processes
  • Perform statistical testing of the Employer and Individual External Consultant’s sampling methodology to test for sample integrity and sample bias
  • Present findings to the BPQM external audit leads and the external consultant firms (Aon Hewitt, Towers Watson, Mercer, etc.)
  • Represent BPQM and United Healthcare in regulatory reviews at the State and Federal level to defend the statistical accuracy and precision associated with quality sampling methodologies, programs, results, anomalies and error trends
  • Perform complex statistical analyses to support multiple areas of the enterprise
  • Discover insights and identify opportunities through the use of statistical, data mining and visualization techniques
  • Advise and assist organizational leadership with strategic business planning and decision - making by providing recommendations based on sound business principles and supported by detailed statistical analyses
  • Employ a myriad of analytic tools and processes to provide management with viable alternatives for informed decision - making, including quality sampling methodologies, trend and forecast analysis, cost benefit analysis, balanced scorecard, activity based budgeting, and gap analysis
  • Utilize ETL (Extract, Transfer and Load) skills to work with different sources of data and creates ways to extract data from sources, as well as, import it and modify it to fit the needs of the organization and then add it into a data warehouse
  • Conduct training and educational programs in statistical science
  • Document findings, including assumptions and validation work in a clear structured manner
  • Summarize and present findings at executive level meeting and strategy sessions
  • Adjust the content and level of detail to appropriate level of the audience
  • Create automated anomaly detection systems and constant tracking of performance
  • Engage constructively with project teams to support project objectives through the application of sound advanced statistical principles
  • Utilize statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers
  • Develop solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
  • Bachelor’s degree required with Master / Ph.D. in Statistics strongly desired
  • 10 years working with advanced statistics, econometrics, and other quantitative methods to perform data analysis and interpreting results
  • 10 years of increasing and relevant experience in analytics function
  • 5 years of professional healthcare industry experience
  • Experience with SAS (need to be able to read SAS output and understand code)
  • Proven consulting and project management skills
  • Ability to craft rigorous research / evaluation design approaches, based upon understanding of research needs
  • Demonstrated advanced analytical skills, evidenced by expert knowledge in statistical analysis, segmentation, descriptive and predictive modeling
  • Previous experience in developing and implementing business initiatives that require transformation change
  • Strong strategic planning & leadership skills with the ability to present information in a variety of different formats (i.e. oral and written mediums) to Executive leaders
  • Ability to work in an ambiguous and dynamic environment and comfort collaborating with multidisciplinary teams
  • Ability to pull together multiple different, and sometimes conflicting, inputs (data, qualitative feedback, hypothesis, etc.) into a common point of view
  • Ability to travel as required by the needs of the business
  • Advanced knowledge and experience working with health insurance claims and enrollment files
  • Experience working in an Agile Software Development environment
  • Experience with predictive analytics or BI reports within a Hadoop ecosystem
  • Exceptional communication skills and the ability to make complex concepts simple and easy to understand
220

Statistician RWE Resume Examples & Samples

  • Oversees the work of outside agencies in RWE projects
  • Participates in the planning and goal finding phases of RWE projects
  • Performs statistical analysis of RWE data
  • Summarizes the results of RWE analysis in reports and in scientific publications
  • Occasionally helps to interpret statistical analysis and publications for market access, marketing and medical purposes
  • Acts as statistical consultant for other intracompany (medical, HEMAR) RWE studies purposes
  • Responsible for accurate, timely, compliant work and task follow up
  • Should have up-to-date knowledge and keep existing company procedures and related rules
  • Detailed knowledge of HCBI SOPs and relevant finance processes is a must
  • May have contacts with HCPs that do not classify as medicine representation
  • University degree (Maths, Statistics) preferred
  • Fluent English (spoken and written)
  • Work under pressure, high degree of accuracy
  • Up-to-date knowledge of statistical methodologies applied in the analysis of real world evidence data (such as: Kaplan-Meier analysis, Cox modelling, propensity score analysis, analyzing survival data in case of correlated covariates, ANOVA and nonparametric methods)
  • Ability to understand the structure of large databases and queries applied to them
  • Compliant driver
221

Statistician Resume Examples & Samples

  • Collaborate with investigators to provide statistical expertise for one or more research projects
  • Collaborate with researchers in the analysis, interpretation, and presentation of research studies; may include designed experiments, observational studies, clinical trials, population-based epidemiologic studies, and laboratory investigations
  • Function as part of a collaborative clinical research team
  • PhD in science related discipline
  • One or more years of experience in statistical modeling
222

Statistician Intermediate / Associate Resume Examples & Samples

  • Gathers, analyzes, and interprets a wide variety of data for Hand Surgery outcomes research
  • Selects data samples, prepares questionnaires, coordinates with study investigators to manage and clean the data in preparation for analyses
  • Analyzes collected information according to established statistical methods
  • Able to work efficiently with large national datasets
  • Knows and applies the fundamental concepts, practices and procedures of statistical analysis
  • Under supervision, performs work that is varied and that may be somewhat difficult in character
  • Some evaluation, originality or ingenuity is required
  • Ability to evaluate various courses of action and make independent decisions on matters of significance, free from immediate direction, within scope of responsibilities
  • Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position is required
  • 1 - 3 years professional experience
  • Excellent computing skills, including ability to work with statistical software packages used for data analysis (SAS and Stata)
  • Excellent interpersonal skills and the ability to communicate technical concepts clearly and effectively
  • Master’s in Statistics or Biostatistics preferred
223

AML Optimization Statistician Resume Examples & Samples

  • Prepare and validate data. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues (if any), and work with Technology to address them
  • Conduct data-driven analysis and create reports. Apply logistic regression or alternative quantitative methods to build models and to conduct various statistical analyses. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs
  • Document solutions and present results in a clear, comprehensive way to a non-technical audience, and draft formal documentation using statistical vocabulary
  • Enhance methodology. Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Escalate identified risks and sensitive areas in terms of methodology and processes
  • Bachelors degree required; Masters degree in statistics/mathematics/technical science is preferred
224

Chief Statistician Resume Examples & Samples

  • Provideleadership, consultation, and review to a team of statisticians and dataanalysts to meet or exceed customer expectations, produce high quality reports,and other deliverables in accordance with Medicare/Medicaid laws, regulations,policies, processes, and protocols
  • Performvalid sampling design and estimation including calculation of sample sizes andextrapolated estimates of overpayment; perform data analysis using appropriatestatistical methodology
  • Research anddevelop statistical methodology and develop formal document of the methodologyadopted by the staff
  • Oversee theaccuracy of all statistical methodology
  • Providesubject matter expertise at ALJ hearings and testify at civil and criminaltrials as required
  • Presentanalytical results in reports, publications, and at conferences
  • Conductpresentations of analysis to internal staff and external customers
  • Dataanalytic responsibilities include sample design, data prep, identification ofappropriate analytic and statistical methodology, model development andtesting, and documentation of process and results
  • Overseeprocess to implement and enhance predictive models in the hardware/softwaresupported by the business unit
  • Participatein and contribute to the quality management system
  • Knowledge ofadvanced statistical methods used in the evaluation of healthcare claims data(Parametric, non-parametric, neural networks, clustering, social networkanalysis etc.)
  • Ability toprovide leadership to colleagues and senior management in innovativestatistical techniques
  • Exceptionalability to drive results through strong collaborating and influencing skillsacross all business segments
  • Extensiveknowledge of the Medicare and Medicaid data and systems
  • Workingknowledge with healthcare coding principles to include ICD-9/10, CPT, HCPCS,RUGS, DRG, physician specialty coding, survey and certification data, andprovider identifiers
  • Workingknowledge of HIPAA Privacy and Security Rules and CMS security requirements
  • Excellentcommunication skills including written and verbal. Ability to present to largeor small groups required
  • Must be ableto multi-task and work in a fast paced environment with multiple deadlines
  • Strongorganizational and prioritization skills with ability to collaborate withmultiple teams and departments
  • Ability towork independently under general instructions, self-directed and motivated
  • Workingknowledge of Microsoft Office, especially MS Excel and Word
  • Masterdegree in Statistics or related field required; Doctorate degree in Statisticsor related field with at least ten years of related post-degree experiencestrongly preferred
  • Notcurrently sanctioned or excluded from any program operated by Federal or StateAgencies including Medicare and Medicaid
  • Strongquantitative analytical experience, including hands-on and background in usingstatistics, mathematical models, regression modeling, neural networks, decisiontrees, clustering, data mining, and similar methods to detect and prevent fraudand abuse
  • Minimum of tenyears of experience using statistics including three years of experience in thedevelopment of predictive models is required
  • A minimum ofthree years of SAS experience is required
  • Experiencewith healthcare claims highly preferred
  • Shows longevitywith one or more past employers
225

Statistician Resume Examples & Samples

  • At least two years relevant experience analysing data of observational studies
  • Experience of developing and engaging credible relationships (sometimes remotely) with all levels both internally and with clients
  • Demonstrable analytical, interpretative and problem-solving skills with large data
  • Must be fluent in English, written and verbal
  • At least 2 years experience with SPSS and SAS will be essential for both internal and client requirements
  • Previous experience and affinity with using bespoke internal systems
  • A Life Science Degree/ Biostats
  • Qualifications in monitoring clinical trials an advantage
226

Quality Statistician Resume Examples & Samples

  • Advises on experimental design strategies and appropriate data to be collected for studies performed in QO department
  • Judges the adequacy and formatting of data collected
  • Performs statistical analyses using appropriate methodologies
  • Writes reports which describe and interpret the experimental design of studies, methods of data analysis, and relevant results
  • Assists Stability personnel in all aspects of product stability monitoring and controls/standards maintenance
  • Review new statistical methods for application to existing process data for resolution of product-quality issues, to improve production efficiency, and to support process development
  • Assist the interview and selection process by evaluating qualifications of employee candidates
  • Provide training to company personnel on statistical principles and methods
  • Assist in the development, maintenance, and communication of departmental systems and SOPs
  • Perform related duties, as assigned
  • Thorough understanding of a wide variety of statistical methods, including experimental design, linear models, categorical data techniques, and nonparametric statistics
  • Solid background in mathematics, with advanced knowledge of probability and statistical theory
  • Proficiency in computer programming and use of statistical software packages
  • Ability to work collaboratively, understand client requirements, and negotiate for appropriate study designs and testing specifications
  • Excellent oral communication skills for explaining statistical concepts and analysis results to biologists, chemists, other technical personnel and project team members
  • Excellent writing ability for technical explanations in reports to company personnel, to the Food and Drug Administration, and to other regulatory organizations
227

Senior Statistician Resume Examples & Samples

  • Responsible for development of Statistical Analysis Plans, to include statistical methodology, statistical programming procedures, definition of derived variables, data–handling rules and mockups
  • Responsible for Statistics’ deliverables within assigned projects
  • Perform QC of all efficacy and safety datasets and data displays
  • Statistical analysis of clinical trial data and related decision-making
  • Responsible for statistical input to statistical reports and Clinical Study Reports. Authorizes final reports as one of Covance signatories
  • Provide statistical representation on multi-disciplinary team preparing protocol; responsible for statistical input; approves as signatory
  • Supervision of less-experienced statisticians within project activities
  • Project management activities for identified projects including financial, resource planning and utilization, timelines and milestone management
  • Provide statistical input into other disciplines’ activities and participate in interdepartmental processes
  • Contact with client across multiple disciplines
  • Assigned tasks related to the development of less-experienced staff within the department
  • Contribute to proposals activities and client presentations
  • Represent the department during project-driven client audits
  • Carry out all activities according to appropriate Covance SOPs, working within the framework of the Quality Management System and to GCP
  • 4-6 years related experience or PhD degree in Statistics plus 1-3 years of related experience considered
  • Some hands-on experience with Population PK is preferred
228

Statistician Resume Examples & Samples

  • Actively participate in and contribute to decision making related to clinical development strategies, regulatory and commercial strategies
  • Independently represent statistics function on global teams in support of clinical studies, indication level programs directly in full compliance with Actelion processes
  • Play a leadership role in the development and review of study synopsis, protocol, statistical analysis plan, clinical study report, and other regulatory submission documents, ensuring accurate and statistically valid deliverables
  • Study supporting clinical development objectives
  • Plan and direct compound level analysis and reporting activities (e.g. tables, listings, graphs) including work of other statisticians and programmers
  • Define vendor requirements and participate in the evaluation/selection of vendors. Manage activities of external vendors to ensure timeliness and quality of statistical outputs
  • Ensure review and approval of statistical deliverables
  • Anticipate and communicate internal and external resource and quality issues that may impact deliverables or timelines of the compound level program
  • Propose and implement solutions, escalate issues to management as appropriate in a timely manner
  • Contribute to the implementation of department standards and process improvements
  • Promote and use innovative statistical methodology in the design and analysis of clinical Lead evaluation and implementation of alternative analysis methodology and data presentation techniques
  • Monitor and contribute to industry advances in statistical methods to optimize study designs and statistical analysis methods, implement innovative approaches at a compound level
  • PhD in statistics or biostatistics with minimum of 8 years of relevant pharmaceutical industry experience or MS in statistics or biostatistics with minimum of 10 years of relevant pharmaceutical industry experience
  • Track record in supervision and operational management of project teams (statistician and programmers) in full autonomy, with demonstrated leadership and excellent oral and written communications skills in English
  • Advanced knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics with experience of innovative design and/or analysis methodology implementation in clinical development
  • Extensive knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions, and experience with at least one NDA/CTDs or other global regulatory submissions
  • Good knowledge of statistical programming languages (including SAS), software, techniques, and processes. Working knowledge of UNIX operating systems, and common software products and technologies used in conjunction with SAS (e.g., Microsoft Office products)
229

Statistician Resume Examples & Samples

  • Analyze and research material to gain a thorough technical understanding of a complex subject area supporting a task assignment. Task assignment may include one or more of the following analysis: strategic planning and analysis; demand and capacity analysis; economic analysis; regulatory analysis; safety and risk analysis; system operation performance analysis; and information analysis
  • Prepare oral presentations and written reports to management, indicating solution or range of possible alternatives in rank of desirability and probability of success when there is no single solution
  • Active DoD Security Clearance
  • Knowledge of Navy Processes
  • Knowledge of Structured Query Language and or other Programming languages
230

Senior Statistician Resume Examples & Samples

  • Familiarity with the Washington State social service system
  • Ability to author and maintain R packages
  • Working familiarity with the programming languages C++ or Java
  • Basic database development experience (able to build parametrized stored procedures)
  • Experience managing budgets for mid-size projects
231

Statistician Resume Examples & Samples

  • Write efficient SQL and PL-SQL queries in complex Very Large Scale database environment
  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database and SAS platforms
  • Design technical solutions supporting complex data reporting and analytical tasks
232

Statistician / Data Analyst Resume Examples & Samples

  • Play a key role in designing future research studies and creating data collection and analysis plans
  • Play a key role in setting up and maintaining data repository (REDCap database)
  • Identify technical and data issues that arise and work with project team to address and resolve issues
  • Provide training and oversight for students that will be working on data entry and cleaning tasks
  • Develop data-related project timelines and manage relevant portions of the project to assure timely completion
  • Analyze results of study findings
  • Play key role in preparing methods and analysis sections of the manuscripts that will report study findings; contribute to grant writing
  • Relevant experience working with research teams is preferred
  • Familiarity with REDCap is preferred
233

Mathematical Statistician, GS Resume Examples & Samples

  • Experience performing analyses and general statistical research using large data systems
  • Experience using various statistical computer software
  • Experience working with senior staff member to identify problems and using existing data to produce solutions within the limitations of available data
  • Experience with computer operations and the application of computer programs designed to retrieve and analyze data from data files in order to provide descriptions of current status and trends
234

Statistician Resume Examples & Samples

  • Develop and continuously enhance deep data expertise for current and new Equifax data, and provide documentation and internal and external consulting regarding best and most appropriate data utilization. This includes a continuous process improvement process by becoming increasingly entrenched and knowledgeable in the structure and changes to the Canadian data both from internal and external points of view
  • Work closely with internal and external clients to understand the objectives of their projects and serve as an analytics subject matter expert leading the design of best data and analytics approach to the solutions, possible options, as well as potential limitations
  • Assess analysis results and provide direction for proper interpretation and usage of the analytics solutions
  • Develop custom analytics solutions, including statistical models, decision trees, segmentation solutions, attributes and analytical reports for various industries and business objectives
  • Provide detailed technical documentation of standard reporting/extraction criteria used for the analysis, as well as the actual solution
  • Utilize, develop and automate the most appropriate processes to increase turnaround time for analytics projects and to increase efficiencies in the statistical model-building process
  • Individually and as part of the team provide thought leadership in analytics and model building by staying on top of new developments in the field
  • Data analysis and data mining
  • Predictive modeling
  • Statistical analysis
  • SAS (Base SAS, SAS Macro, SAS STAT, EM, EG)
  • Hadoop Tools
  • Complex data manipulation using SQL
  • Microsoft Office (Excel, Word, and PowerPoint)
  • Oracle
  • Database design and data modeling
  • Visual Basic
  • At least one business intelligence tool (e.g. Business Objects, Cognos, Spotfire)
  • The financial services industry and credit information
235

Mathematical Statistician Resume Examples & Samples

  • Two years of work experience with Electrical/electronic engineering and electromagnetic propagation
  • Two years of work experience in Applied physics
  • Two years of work experience in each of the following: Development of data reduction and analysis algorithms, development of software tools to reduce, interpret, and analyze test data, and, using existing (available) software tools to facilitate statistical analysis
  • Two years of work experience in Software scripting in support of test and evaluation
  • Two years of work experience in each of the following: Operational test, developmental test and evaluation methods for acquisition programs (weapon systems)
  • Two years of work experience with Modeling and simulation and with ATEC’s Verification, Validation, and Accreditation process
  • Two years of work experience with Data collection, reduction, and analysis planning and execution
  • Two years of work experience with Writing test and evaluation plans and reports, and preparing briefings for executive-level management
  • Two years of work experience with System acquisition documentation (Examples include DoD, Army, and ATEC regulations, pamphlets, instructions and guidance)
236

Statistician Resume Examples & Samples

  • Collaborate with subject matter experts to select the relevant sources of information and formulate the right questions and problems
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes
  • Demonstrate the scientific qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness
  • Present and depict the rationale of findings in easy to understand terms for the business. Present back results that contradict common belief, if needed
  • Provide on-going tracking and monitoring of performance of deployed decision systems and statistical models
  • No prior experience in oil and gas industry is required
  • Highly experienced and educated in a two of the following areas: clinical trials, epidemiology, survival data analysis, spatial and spatio-temporal statistics, time series analysis, causal and graphical models, high dimensional data and statistical learning, hypothesis tests, design of experiments, statistical simulation, visualization, Bayesian analysis, etc
  • Highly experienced with R or Python for analysis of data
  • Graduate degrees in Statistics, Economy, Mathematics, Industrial Engineering, or Physics
  • Minimum three published peer-reviewed articles in prestigious related conference proceedings/journals
237

Senior Statistician Resume Examples & Samples

  • Extraction and analysis of large healthcare claims data using SAS, SQL, R, Teradata, Hadoop, etc
  • Lead analyses related to Pharmacy Utilization Management and Consumer Health Engagement (root cause, Health Outcome Studies, Opportunity analysis including descriptive and multivariate statistics to identify patterns in the data etc.)
  • Matched-case control studies and/or randomized control trials for determining the effectiveness of clinical programs and clinical outcome studies
  • Presentation of results and recommendations to non-technical business partners and stakeholders to drive the decision-making process and support business operations for internal and external customers
  • The analyst will design the study by choosing the population, methodology,and outcome metrics to measure. He/she will be responsible for determining the sample size requirements, measuring the outcomes and presenting the results and recommendations
  • This role typically requires an advanced degree (PhD, MS, MBA etc) with a focus in pharmacy analytics, health economics, healthcare management, public health, epidemiology or equivalent field and at least 5 years’ experience in pharmacy-related analytics field. Clinical background (PharmD.) is preferred but is not a requisite for this role
  • Working knowledge of program evaluation, predictive modeling, data mining, steerage, pharmacy and care management
  • Experience with statistical software, primarily SAS (SAS Enterprise Guide, SAS Enterprise Miner is a plus)
  • Strong customer focus and management of client expectations
  • At least 5 years of experience in Managed Care/PBM related analytics
  • A demonstrated ability to understand and effectively communicate (both verbally and written) analytic and clinical data to a varied audience
  • Deep healthcare data (e.g., PBM, Provider Networks, ICD-9/ICD-10, claims, profiling), statistical analysis experience, and an understanding of all the associated clinical, utilization and financial levers
  • The ability to work collaboratively and professionally within a large and complex organization
  • To influence, drive, and improve the areas above, the person in this position will need to be self-motivated and possess strong leadership qualities
  • Translate business needs into practical applications and solution
  • Demonstrated ability to independently conceptualize and design analytic and financial models
  • Emerging track record of presentations / publications
238

Statistician Resume Examples & Samples

  • Provide analysis for leadership team to identify critical issues/questions around member performance
  • Conduct statistical inference analysis and testing to develop & evaluate data driven hypotheses and results
  • Communicate findings from analytic testing to the interested parties via a comprehensive , standardized format detailing the methods, analysis and conclusions and recommended next steps
  • Serve as the resident expert and share best practices/approaches for statistics, study design, and applied analytic methods
  • Collaborate with Director, Analytics to build analytical acumen across all analytic roles in the organization
  • Advanced degree (Masters or higher) preferred in applied math, statistics, computer science, or related field
  • 5-7 years of experience managing large disparate data sets and using quantitative and qualitative analysis to draw meaningful and valid insights including 3 years of programming experience using SAS/Python/R
  • Must be able to present results to senior leadership, internal and external members
  • Must be a team player and be willing to collaborate and assist with members of the team as necessary
239

Statistician Resume Examples & Samples

  • Provide a service in statistics to customers at all levels of the Ware GMS site
  • Through the best use of statistical methods, statistical systems, people and procedures meet business objectives, customer needs, service, quality, cost, safety and environmental standards
  • Provide statistical support and troubleshooting support to customers, in order to improve performance, quality, customer service and reduce costs
  • Ensure that technical support is provided to project areas to meet customer needs, including design, analysis and reporting of studies performed
  • Report (oral and written) statistical analysis. This will be in-line with current GMP, QMS and departmental guidelines
  • Evaluate statistical analyses performed outside of the Technical Data Team which requires verification prior to release
  • Provide statistical support in a regulatory context to support the site in it’s reporting obligation to regulatory agencies
  • Contribute to consultancy work, as required, to gain an understanding of projects requiring support
  • Maintain technical knowledge base appropriate to fulfil role
  • Mentor and coach others, e.g. technologists and OE Experts, in the use of statistical tools and techniques
  • Support experimental planning to ensure high quality relevant data
  • BSc. in Statistics, Mathematics, Data analysis or a degree with a high statistical content
  • Technical Report Writing
  • Competent in multivariate and univariate analysis
  • Experienced across a range of data projects and data types
240

Senior Statistician Resume Examples & Samples

  • University degree (Master / PhD) in Statistics, Mathematics, Theoretical Physics or related field
  • Ideally > 7 years relevant work experience
  • Fluent English required
  • Act as essential partner for project teams or other stakeholder groups and provide statistical support in all aspects of Technical Research & Development (Product, Process and Analytical Development and commercialisation)
  • Ensure full integration of statistics across functions into everyday work as appropriate. Ensure advanced statistical concepts are routinely being applied during product and process development, technology transfer and production to ensure competitive and state of the art quality and productivity
  • Upskilling the organisation on the application of statistics by providing training, user-friendly applications and offering development opportunities
  • Influence GSK internal policies, guidelines and SOPs to ensure appropriate statistical application and represent the organization on key conferences and advocacy groups in order to influence the external and regulatory environment
  • Managing external and internal collaborations with statistical thought leaders and statistical groups in other functions and divisions
  • Ensuring high quality regulatory dossiers which set the benchmark in the industry and result in high regulatory acceptance
  • Provide statistical consultation and reports for all global development in compliance with current ICH / FDA guidelines and SOPs
  • Stay up to date with latest developments in the field of statistics and explore applicability for our organization. Develop new and fit for purpose applications for the organization where this gives competitive advantage to the organization. Keep abreast of new developments
241

Lead Statistician Resume Examples & Samples

  • Master in Statistics, Mathematics, Epidemiology or equivalent
  • At least 5 year experience in pharmaceutical industry
  • Leader in providing innovative approaches to better design and analyse our trials and speed time-to-market
  • Provide strong arguments to support upper management decisions. Defend independently statistical positions in external meetings (IND, advisory board) and towards Health Authorities
  • Provide active statistical expertise to other department for solving emerging questions requiring specific and complex statistical expertise
  • Coordinate statistical activities related to the Franchise. Responsible for the statistical quality & delivery within the Franchise
  • Ensure consistency across the different product developments in the Franchise and across Franchise
  • Communicate highly technical issues to non-statisticians at senior management level
  • Create external network to develop and bring adequate statistical approaches in clinical developments, lead or contributor author on statistical/product development papers, develop collaboration with external experts to efficiently meet the Franchise objectives
  • Lead the deployment (development, build acceptance through external credits from experts or Authorities, implementation) of new methodologies within GSK Bio. May lead the development of new processes/tools
  • Influences new or reviewed Authorities guidelines in statistical approaches for products development
  • Pro-actively support the development of biostatisticians within the organization
242

Principal Statistician Resume Examples & Samples

  • Experience in the design, execution, analysis and interpretation of clinical trials
  • Experience of working with, and co-ordinating CROs
  • Experience with modelling and simulation, and other innovative methodologies
  • Building and maintaining effective strategic working relationships with internal and external partners to meet business needs
243

Statistician Resume Examples & Samples

  • Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds. Ensure appropriate methodology is selected to answer specific business questions on effectiveness of coverage
  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers. Provide explanations of approach and analysis in plain language that supports the conclusions and observations
  • Bring statistical expertize to the team, select best statistical methods, verify assumptions, design and implement customized methods for statistical testing and inference
  • Ensure Data Quality and Reliability. Design and implement various Data Quality. Detect and report data anomalies, Recommend data quality solutions
244

Senior Statistician Resume Examples & Samples

  • 40% - Lay the groundwork
  • Hypothesize as an individual researcher and in collaboration with other team members on how to solve problems
  • Uses best practices to understand the data and develop statistical, machine learning techniques to build models that address business needs
  • Analyze effectiveness of models and tools to constantly improve tools, procedures, and workflows that minimize risk and enhance customer experience
  • 30% - Turn data into insight
  • Segment, cluster, model, and mine to better understand the behavior in question. Explain what has happened or predict what will in an actionable fashion
  • 30% - Drive change
  • Produce clear, understandable presentations and visualizations to share with Senior Management Partner with business integration, product, digital, engineering, marketing and all line of business to design tests and implement your model findings insights
  • Communication to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes
  • Manages data and data requests to improve the accuracy of our data and decisions made from data analysis
  • Master's degree in a quantitative field such as operations research, industrial engineering, statistics, econometrics, mathematics, computer science, computer engineering, data analytics, finance or related field
  • In addition to Master’s degree, 4+ years of experience in the job offered or 4+ years of experience in data analytics
  • Experience must include: development and application of applied statistical analysis, modeling and optimization; research design using statistical software and other analytical tools, hypothesis testing, regression analysis, forecasting, CART, performing complex mathematical formulations to solve large scale business problems, and problem solving skills
  • Experience in working with any or all of statistical/data processing software such as R, SAS, Python, SPSS, MATLAB, etc
  • Experience in any or all database such as SQL, Hadoop, NoSQL, etc
  • Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
  • Passionate about data analytics; have a proactive and holistic approach when solving business problems
  • Must be good at project management, driving all aspects of projects from understanding business requirement from stakeholders, independently formulating analysis approach and creating hypothesis, identifying data required for analysis, preparing data for analysis, testing hypothesis and conducting analysis, creating PowerPoint presentations for audience at different familiarity level in simple to understand terms, identifying next steps and future opportunity
  • Coach junior analysts on their work
  • Preferred: Ph.D. degree in a quantitative field such as operations research, industrial engineering, statistics, econometrics, mathematics, computer science, computer engineering, data analytics, finance or related field
  • In addition to Ph.D. degree, 4+ years of experience in the job offered or 4+ years of experience in data analytics
  • Solid communicator, particularly with less technical project stakeholders and customers, as well as with architects from various disciplines
  • Persuasive, can make an effective case to the project core team justifying the use of a specific solution/model or technology
245

Statistician Resume Examples & Samples

  • Conduct statistical analyses and prepare statistical reports
  • Collaborate effectively with multi-disciplinary teams from Regulatory Sciences and Regulatory Affairs to ensure scientifically-rigorous experimental designs and statistical methods are implemented
  • Proactively identify and help solve problems related to design of experiments and statistical analyses in the area of Regulatory Sciences using traditional and/or non-traditional statistical methodologies
  • Provide statistical training and knowledge transfer to Regulatory Sciences and Regulatory Affairs team to improve understanding and interpretation of statistical methods and results
  • Partner with teammates to drive quality and increase efficiency in reporting statistical analyses and results through code and document automation
  • Ph.D. in Statistics or Biostatistics or M.S. in Statistics or Biostatistics
  • At least two years of statistical consulting experience
  • Experience with experimental designs and statistical models used for the analysis of environmental, agricultural, and/or industrial data for both continuous and categorical endpoints
  • Experience with linear- and generalized linear mixed models
  • Experience with nonlinear models
  • Ability to solve problems using non-conventional statistical techniques
  • Proficiency in SAS, including PROC MIXED and/or GLIMMIX
  • Proficiency in Microsoft Word and Excel
  • Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner
  • Degree or coursework in an IT-related field (e.g., computer science)
  • Degree or coursework in an agricultural-related field (e.g., agronomy, ecology)
  • Experience with Good Laboratory Practice (GLP) standards
246

Process Statistician Resume Examples & Samples

  • In collaboration with product & process development partners and subject matter experts, review and consolidate Design of Experiment, as well as providing guidance for product and process investigations
  • Provide expert guidance for sampling procedures, specifically in the application of ISO 2859 and 3951 standards or equivalent
  • Ensure definition and maintenance of a relevant Process Control Strategy for new products and processes as a central reference for manufacturing centers
  • Support manufacturing centers in setting-up a Continuous Performance Monitoring and Improvement model
  • Provide as the case be, specific services to the organization as Analytical Studies, Data & Trend Analysis and Corrective, Preventive and Improvement activities, as well as Process Validation studies
  • Develop effective reporting and or analytical tools that can be widely used and understood
  • Reduced-Risk Products (“RRPs”) is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke
247

Statistician Resume Examples & Samples

  • You help our research and business units to increase the efficiency of their work by applying explorative data analysis, statistical hypothesis testing, data based modeling, optimization, design of experiments and six-sigma-methodology
  • Therefore, you will communicate and collaborate to a broad community of research scientists and management and will be acting in interdisciplinary project teams
  • Together with colleagues from our IT-units and external partners you will establish workflows for statistical data analysis to non-statisticians by providing easy-to-use intranet applications with tools like R-Shiny
  • Assist in developing and implementing data collection systems in our research pipeline that optimize statistical efficiency and data quality
  • You will also establish and maintain collaborations with academic research groups while evaluating new approaches and exploring new application opportunities
  • You made a PhD in Applied Statistics, Chemometrics, Biostatistics or related fields or have background as engineer or natural scientist with a strong focus on using statistical methods and data science
  • You have professional experience in data analysis, data modeling, data mining, statistical analysis, and reporting
  • You are well experienced in using R, SAS, Python or other statistical software to solve real world problems and support research activities (with e.g. design of experiments)
  • You have sound knowledge and experiences in the fields of linear and nonlinear models, experimental design, data mining and machine learning
  • You are comfortable working in multinational interdisciplinary teams and preferably, you have already gained international experience
  • You are a creative and motivated team player with excellent communication and presentation skills
248

Senior Statistician Resume Examples & Samples

  • Provide professional and detailed statistical planning, analyses and interpretation of results for Health Technology Assessment projects. This may include leadership of parts of the project
  • Directly contribute to Health Technology Assessment projects and submissions. BARDS contributions to HTA projects consist of using clinical trial data (mostly individual patients data) to plan and define analyses strategies, analyse, interpret and communicate results for HTA submissions
  • Collaborate with colleagues from the Center of Observational and Real-World Evidence and from MSD subsidiaries to gather scientific requirements
  • Analyse the requirements and design appropriate statistical approaches to address the scientific questions
  • Collaborate with HTA Statistical Programmers to implement the selected methodologies
  • Real potential to learn and apply innovative statistical methodologies
  • Strong analytical mind-set with high level of accountability for quality, compliance and timelines
  • Team oriented with demonstrated history of teamwork and collaboration; enjoying diversity, respect and integrity
  • Ability and interest to work across cultures in an international environment
  • Demonstrated excellent interpersonal skills. Excellent collaboration, negotiation and organization skills, creative thinking, and good communication and leadership skills
  • Capacity to seamlessly assimilate new projects and work with stakeholders
  • Successful experience in providing statistical support to clinical development programs, including design, reporting and interpretation of results
  • Ability to effectively communicate complex statistical issues to non-statisticians
249

Associate Statistician Resume Examples & Samples

  • Understands the business’ problems to identify the optimal business solution/modeling approach and support your answers and findings with appropriate statistical techniques and methods
  • 70% - Turn data into insight
  • Segment, cluster, model, and mine to better understand the behavior in question
  • Explain what has happened or predict what will in an actionable fashion
  • Transform data into insights, to identify and quantify opportunities to reduce risk and cost, improve profits and customer retention
  • Use and leverage internal and external tools (e.g., R, SAS, Python, SQL, Hadoop, etc.)
  • 10% - Drive change
  • Produce clear, understandable presentations and visualizations to share with Senior Management
  • Partner with business integration, product, digital, engineering, marketing and all line of business to design tests and implement your model findings insights
  • Communicates to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes
  • Participate and drive data modeling and governance best practices
  • Bachelor’s degree in a quantitative field such as operations research, industrial engineering, statistics, econometrics, mathematics, computer science, computer engineering, data analytics, finance or related field
  • In addition to Bachelor’s degree, 0-3 years of experience in the job offered or 0-3 years of experience in data analytics
  • Must have demonstrated skills in Microsoft Office including Excel (basic data manipulation, formulae, data analysis using charts, pivot tables, etc.), and PowerPoint
  • Advocate machine learning principles to become a SME within the organization
  • Manage stakeholder relationship
  • Understanding of the Insurance industry/market place and regulation preferred
  • Preferred: Master’s degree in a quantitative field such as operations research, industrial engineering, statistics, econometrics, mathematics, computer science, computer engineering, data analytics, finance or related field
  • In addition to Master’s degree, 0-3 years of experience in the job offered or 0-3 years of experience in data analytics
  • Experience with Excel VBA/macros, Tableau, and/or Microsoft Power BI a plus
  • Ability to effectively communicate with both business and technical teams
250

Principal Statistician Resume Examples & Samples

  • Have the ability to evaluate innovative and adaptive designs using analytical studies, apply these designs with the appropriate analysis methods
  • Participate in process improvement, training, standards development and enhancing statistical technical expertise
  • Take an initiative to liaise with other statisticians within the organization, and build working relationships with cross-functional team members
  • Ph.D. in Statistics or related field with minimum 3 years’ relevant experience, or Master’s in Statistics or related field with a minimum of 5 years’ relevant experience is required
  • Proficient in SAS or R programming is required
  • Excellent verbal, written, and interpersonal communication skills including presentation skills are required
  • Demonstrated ability to work in interdisciplinary contexts outside statistics
  • Up to 10% travel is required, both domestic and international.Biostatistics