Statistician Senior Resume Samples

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TH
T Hackett
Tiara
Hackett
833 Skye Lights
Houston
TX
+1 (555) 219 9218
833 Skye Lights
Houston
TX
Phone
p +1 (555) 219 9218
Experience Experience
Houston, TX
Statistician Senior
Houston, TX
Gutmann Group
Houston, TX
Statistician Senior
  • Provide support for faculty in the areas of statistical analysis and data management
  • Execute the proper study design and statistical plan to adequately address study hypotheses
  • Gather, manage, and analyze various clinical and public-reporting datasets for analysis according to established statistical methods
  • Interpret statistical results and present information to investigating researchers
  • Write technical methodology and results sections - including text, charts, graphs, and figures - for manuscripts to peer-reviewed journals
  • Project management for research projects, including but not limited to, grant negotiations, development of data collection tools, teaching collaborators on extraction techniques and biweekly teleconferences with collaborators and stakeholders
  • Complete mandatory study-specific paperwork, such as Institutional Review Board (IRB) applications, budgets and timelines
Phoenix, AZ
Senior Survey Statistician
Phoenix, AZ
Schuster, Hansen and Ritchie
Phoenix, AZ
Senior Survey Statistician
  • Assist with or lead the preparation research proposals by writing sections of the technical proposal and providing statistical analysis support
  • Apply standard statistical and/or data management software package(s) to execute data processing and data analysis methodologies
  • Lead or assist in the development of innovative sampling design and analysis procedures
  • Work with large federal public use datasets, such as ACS, NHIS, CPS, QCEW and PDB, to develop optimal sampling strata, and to inform weight calibration procedures
  • Perform model-based imputation
  • Develop and implement weighting protocols for complex surveys (including creation of replicate weights)
  • Working knowledge of the total survey error paradigm, models of survey response, cognitive and social aspects of survey measurement
present
Dallas, TX
Senior Principal Statistician
Dallas, TX
Armstrong, Bogan and Dibbert
present
Dallas, TX
Senior Principal Statistician
present
  • Authoring or overseeing authorship of Statistical Programming Plans (SPPs)
  • May also participate in providing statistical support/strategy for post-marketing/Medical Scientific Affairs activities
  • Collaborate effectively with Clinical Research colleagues by driving statistical thinking, proper data interpretation and disciplined exploratory data analysis
  • Authoring or overseeing authorship of Statistical Analysis Plans (SAPs)
  • Provide statistical support for GTO projects, support acceptance criteria setting and data analysis for
  • Effectively negotiate timelines or competing company priorities among a variety of stakeholders
  • Demonstrate knowledge regarding disease(s) under study, potential mechanism(s) of action and approval pathways/histories of other current/past drugs
Education Education
Master’s Degree in Statistics
Master’s Degree in Statistics
Harvard University
Master’s Degree in Statistics
Skills Skills
  • Determine study design and data sources for wide variety of activities, including quality improvement, utilization, cost, and other research areas
  • Work with the Project Manager and Program Evaluation Specialist to evaluate and ensure data quality for all participating hospitals
  • Experience in the analysis and reporting of clinical trials
  • Collaborate with Principal Investigators and other team members to lead analytic approaches
  • Develop SAS code for completing analyses and maintain code library, including documentation, that includes output validation
  • Produce quality measurement comparisons across multiple metrics at all participating hospitals Identify opportunities for improvement with quality of care and costs across both hospitals and providers
  • Successfully and independently accomplish a wide variety of analytical requests, including investigator or project initiated work in support of publication or simple quick-turnaround data requests for funding sources and collaborative member sites
  • Other duties as assigned
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15 Statistician Senior resume templates

1

Senior Statistician Distribution Strategy Resume Examples & Samples

  • PhD in statistics, economics, information sciences, or another quantitative field
  • A strong grasp of statistical techniques, with the ability to apply them in a business environment
  • Proficiency with statistical programming software, such as SAS, R, or Matlab, with the ability to be certified in SAS within 90 days of starting employment
  • Able to manage multiple concurrent projects in a fast-paced environment
  • Able to work independently and in a team environment
  • Exceptional communication, organization, and presentation skills
2

Recurring Remote Senior Talent Statistician Resume Examples & Samples

  • Help answer questions regarding plays that just happened. For example, in a basketball game: Which player was the foul on? Was the last shot a 2 or 3 point field goal?
  • Communicate stats and trends to announcers effectively without interrupting or intruding on their flow of the game. Answer any questions the announcers may have
  • Concisely communicate stats and trends to Graphics Producers over headset. Answer and questions the Graphics Producer may have.When they are available, work with teams’ SID/PR people to get information or questions answered
  • Expert knowledge of sports history, rules, procedures, statistics and terminology
  • Excellent 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)
  • Strong math skills
3

Senior Research Scientist / Statistician Resume Examples & Samples

  • Fit and validate statistical models to low- and high-dimensional data by using techniques from classical and modern statistics and applied probability
  • Develop recursive and non-recursive algorithms for estimation of parameters in various statistical models related to ad delivery and to be used in AOL’s automated ad optimization system
  • Analyze content, ad, and user engagement data and extract insights useful in the design of the above optimization system
  • Design experiments, as well as, test estimation algorithms
  • Interact with engineering/operation teams for system trouble-shooting and Business Analysis teams for business development
  • Ph.D. in statistics, engineering, or similar
  • Expert knowledge in statistics and applied probability, machine learning
  • Highly organized, analytical, problem solving mindset, and intellectually curious, with exceptionally high integrity and outstanding team spirit
  • Solid coding skills in one or more object oriented programming languages
  • Previous experience in distributed computation such as Hadoop/Map-Reduce/Spark and large scale data science
  • Knowledge in dynamical systems
  • A few years of work experience
4

Senior Statistician Clinical Biostatistics Late Development Resume Examples & Samples

  • Gain a thorough understanding of the safety, efficacy, the pharmacokinetics and the pharmacodynamics of one or more investigational compounds
  • Contribute to the design and analysis of clinical trials in close collaboration with other Quantitative Sciences and Clinical Team members
  • Have the ability to understand and apply innovative designs and analysis methods and support their evaluation via analytical studies and other appropriate methods
  • Ph.D. in Statistics or related field is required OR a Master’s Degree in Statistics or related field with 3 or more years of relevant experience, is required
  • Good oral, written, and interpersonal communication skills are required
  • Experience with drug development for immunologic disorders is preferred
  • Experience in developing clinical trial protocols is preferred
  • Basic knowledge of regulatory guidance documents such as ICH guidance is preferred
  • Knowledge and experience in regulatory submissions is preferred
5

Senior Statistician, VP Resume Examples & Samples

  • Master or higher degree in quantitative areas with 5+ years experience and ideally with experience on institutional product knowledge
  • Segmentation analysis and decision tree modeling using SAS / SQL programs
  • Be able to manage, process and analyze large volumes of data from disparate data sources
6

Statistician / Senior Statistician Resume Examples & Samples

  • Create statistical analysis plans, including the definition of derived data sets, and the design of statistical tables, figures, and data listings for clinical summary reports
  • Performing statistical reviews of TFLs for statistical integrity of results
  • Leads studies /portfolios for statistical activities
  • Contributing to process & team development initiative
  • Assists in providing biostatistics input to ICON research proposals
  • LI-PP1
7

Senior Survey Statistician Resume Examples & Samples

  • Assist with or lead the preparation research proposals by writing sections of the technical proposal and providing statistical analysis support
  • PhD in Statistics, Biostatistics, or Mathematics with at least ten years of nonacademic related experience
  • Five years of experience with Survey Statistics
  • Experience in contract research
  • Experience with sampling design, nonresponse adjustment procedures, and analysis of data from complex sample survey
  • Strong oral and written communication skills( as demonstrated in a writing sample and possible presentation
8

Senior Statistician / Data Scientist Resume Examples & Samples

  • Initiate the development of innovative solutions in the area of data science / statistics and the application to business challenges in the region
  • Communicate the ideas and solutions of predictive and prescriptive modeling to a broad community of non-statisticians and will be acting as a driving force in interdisciplinary project teams
  • Act as a key stakeholder in Asia-Pacific and connect the Global Business Analytics team with business and functional units in the region, in order to understand their business needs
  • Leverage knowledge from outside and ensure a sustainable implementation and knowledge transfer, establish and maintain collaborations with academic research groups
9

Statistician / Senior Statistician Resume Examples & Samples

  • Good oral and written skills are crucial, as is the desire to learn enough of the relevant science to interact effectively
  • Knowledge of design of experiments, linear mixed models and multivariate analysis is essential
  • Excellent software skills (R, SAS) are also essential
  • A successful candidate must be constantly eager to expand his/her statistical, communications, and computing expertise, must be able to work autonomously and within a team environment
  • PhD degree in Statistics or related field or Masters in Statistics or related field with commensurate experience
  • Fluency in English is required. Fluency in Dutch is considered as plus
  • Travel up to 10% is required
10

Senior Statistician Clinical Biostatistics Late Development Resume Examples & Samples

  • Knowledge and experience in regulatory submissions is required
  • Ph.D. in Statistics or related field with minimum 2+ years of relevant experience, or Master’s Degree in Statistics or related field with 4+ years of relevant experience is required
  • Experience with antiviral drug development, in the HCV (Hepatitis) disease area is preferred
  • Basic knowledge of regulatory guidance documents such as ICH guidance is required
  • Experience in planning and execution of statistical analyses for HA dossier and publications is required
  • Experience producing clinical biostatistics top line reports is preferred
  • Proven ability to work effectively within a geographically and culturally diverse work environment is required
  • Travel up to 10% both domestic and international will be required.Biostatistics
11

Senior Statistician, Patient Analytics Resume Examples & Samples

  • A Bachelors’ or Masters’ degree in Statistics, Economics, Econometrics or a related field
  • At least two years’ of relevant experience in quantitative analytics analyzing big data
  • Practical experience in handling patient data analysis
12

Statistician Senior Resume Examples & Samples

  • Provide support for faculty in the areas of statistical analysis and data management
  • Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position
  • 3 to 5 years of professional experience
  • Masters’ Degree in Statistics or Biostatistics or higher
13

Senior Principal Statistician Resume Examples & Samples

  • Actively participate in and contribute to decision making related to clinical development strategies, regulatory strategies, and commercial strategies
  • Provide statistical leadership in design, analysis, and interpretation of clinical studies at a compound level with large complex programs
  • Advanced knowledge of the pharmaceutical industry including understanding of clinical drug development process and associated documents
  • Strong collaborative skills and ability to work with a cross-functional team
  • Ability to sit and stand for long periods of time
  • Ability to lift and carry over 25 pounds
14

Principal Statistician / Senior Statistician Resume Examples & Samples

  • Provide statistical power and sample size calculations for genomic studies
  • Establish and maintain sound working relationships and effective communication between Biostatistics and translational research key stake holders
  • Provide high-quality statistical consultations
  • PhD in statistics or biostatistics with minimum of 5 years of relevant pharmaceutical industry experience
  • Proven track record in statistical leadership and implementation of innovative design and analysis methodology in translational research area
  • Experience with a wide range of advanced statistical methods, strong analytical capabilities and data explorations skills
  • Good communication, presentation and consultancy skills, a creative mind with good problem solving skills
15

Senior Staff Statistician Resume Examples & Samples

  • Applies innovative thought processes into how data can be utilized at Stryker to solve problems, enable intelligent insights that drive innovation, and yield tangible value for our business and our customers
  • Leads the creation of proceduralized statistical methodologies and tools for the organization to utilize around quality, regulatory, manufacturing and new product development processes
  • Supports New Product Development (NPD) activities to aid in study design that facilitates the efficiency and insight gained during design verification / validation and reliability analyses
  • Is a technical expert for data analytics and utilization of data across multiple products and processes
  • Works with cross functional teams to determine analytic / statistical needs, key metrics, and business performance measures
  • Provides consulting services for custom study design, statistical analyses and reporting for various internal customers
  • May research academic and industry literature to improve statistical tools and knowledge within organization
  • May support development of statistical training material and provide training for the organization
  • May work cross divisionally to improve related processes and drive consistency across Stryker divisions
  • May communicate with corporate and divisional quality system data owners
  • May lead a local or corporate cross-divisional project
  • May assess how changes to regulations impact quality decision making practices
  • May solicit feedback from customers regularly to drive process improvements
  • May travel to Instruments global sites to support the implementation of data management initiatives
  • 5-9 years functional experience in statistics in the medical device or pharmaceutical industry
  • Experience performing advanced statistical analyses
  • Experience guiding engineers through study design, data collection, statistical analysis and reporting
  • Experience and working knowledge of a programming statistical analyses using software such as R and/or SAS
  • Experience and working knowledge of at least one general programming language (excluding statistical analysis) such as Java, Python, MATLAB, etc
  • Demonstrated ability in the application of Reliability Engineering fundamentals
  • Experience researching and implementing academic and industry statistical literature
  • Experience with direct interface to the customer is preferred
  • Experience with large data set manipulation, analysis, interpretation and communication of results
  • Working knowledge of data collection, data analysis, evaluation, and application of scientific methods
  • A proven track record in data mining, exploration, algorithmic model development, and predictive analytics
  • Key contributor that effectively influences data, analytic technology architectures, strategies, and roadmaps that are aligned with business strategies
  • Practical experience driving analytic improvements transforming traditional legacy data landscapes and solutions creating the foundation for reliable data, visual discovery, and analytic insights
  • Preferred: Broad knowledge of product development and manufacturing, including ability to interact with engineering teams to improve product / process design
  • Masters in Statistics, PhD preferred
16

Senior Medical Affairs Statistician Resume Examples & Samples

  • Provide biostatistical input to Medical Affairs teams for the design, planning and conduct of analyses of Phase IV clinical trials and observational studies as well as post-hoc analyses of existing databases and meta-analyses
  • Generate publications, presentations, and posters in collaboration with Medical Affairs teams
  • Scientific appraisal of study protocols and study proposals
  • Guide and collaborate with Contract Research Organizations to ensure alignment with established data, analysis and quality standards
  • Build up knowledge in scientific methods for Real Life Evidence projects like, for example, observational studies as well epidemiology and market access strategies
  • Cooperate with internal and external statistical programmers, statisticians and epidemiologists
  • Train Medical Affairs staff in general and indication-specific statistical concepts
  • Deliver regional on-site statistical guidance
  • Master or Ph.D. in Statistics or Mathematics with specialization in Statistics
  • At least 3 years of experience as statistician with significant time spent in the Pharma or Biotech sector
  • Experience in the design, planning and evaluation of observational studies and phase IV clinical trials
  • Experience with SAS is required
  • Knowledge in epidemiology as well as in the conduct of meta-analyses and network-meta-analyses are desirable
  • Phase III & IV (late stage development) is highly desirable
  • Experience in Oncology strongly preferred
17

Senior Pricing Statistician Resume Examples & Samples

  • One (1) year of retail analytical experience, including pricing
  • Statistical software including SAS, R, and SQL
  • Statistical modeling/model selection, including variable selection and interpreting model diagnostics
  • Demonstrated understanding of financial levers related to pricing, promotions, and merchandising
  • Ability to represent work and analysis effectively in a clear, logical, and concise manner to Director and members of the organization
  • Expert knowledge of Microsoft Excel and Microsoft Access
  • Demonstrated knowledge of Microsoft PowerPoint
18

Principal Statistician / Senior Statistician Resume Examples & Samples

  • 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
  • Experience with advanced study design or at least one NDA/CTDs or other global regulatory submissions
  • Excellent oral and written communications skills
19

Senior Statistician, Critical Care Quality Resume Examples & Samples

  • Leads the creation and maintenance of statistical technique and trending policies, procedures, tools, and guidance documents to support quality system requirements
  • Utilizes statistical models and analytics to gain insights into product and process utilization / performance. Integrates data with the goal of discovering meaningful and actionable insight for fact-based decisions that drive better business outcomes
  • Provide technical expertise on use of statistical techniques associated with product development, process validation, and process controls
  • Internal liaison and expert for post-market surveillance database development, maintenance, and sustainment activities
  • Supports culture of continuous improvement by driving enhancements to existing databases, data collection methods, statistical methods, procedures, and training
  • Troubleshoot product deviations as issues occur through data analysis
  • Partner with cross-functional Quality and Business Unit Teams to fulfill reporting requirements
  • Includes, but not limited to
  • Complaints Trending and summaries
  • FDA Medical Device Reporting trending and summaries
  • Weekly, monthly and quarterly product line complaints reporting/trending/analysis to Management
  • Participates in team decision making and displays team problem solving/communication skills
  • Bachelor’s degree in Engineering, Science, or Math/Statistics; if degree is in engineering or science, must have demonstrated knowledge of statistics and ability to apply that knowledge
  • Functional experience in statistics in the medical device, biotechnology or other highly regulated industry
  • Experience with large data set manipulation, analysis, evaluation, interpretation and communication of results
  • Strong ability to communicate clearly through presentations, written documents, and verbal
  • Able to influence and work with large cross functional teams
  • Strong Microsoft Office capabilities required
20

Statistician Senior Resume Examples & Samples

  • Gather, manage, and analyze various clinical and public-reporting datasets for analysis according to established statistical methods
  • Interpret statistical results and present information to investigating researchers
  • Write technical methodology and results sections - including text, charts, graphs, and figures - for manuscripts to peer-reviewed journals
  • Project management for research projects, including but not limited to, grant negotiations, development of data collection tools, teaching collaborators on extraction techniques and biweekly teleconferences with collaborators and stakeholders
  • Complete mandatory study-specific paperwork, such as Institutional Review Board (IRB) applications, budgets and timelines
  • Work with physicians, nurses and programmers to adequately extract clinical data for reporting rare events in quality assurance measures
  • Develop risk-adjustment strategies to report quality assurance metrics to minimize patient harm
  • Determine the most effective presentation techniques to disseminate quality assurance reporting to providers on how they rank compared to their peers
  • Foster communication with investigators from other fields of medicine to nurture cross-disciplinary research utilizing institutional electronic health record data
  • Mentor junior level department analysts in statistical techniques and methodology
  • The Biostatistician/Analyst assists in the gathering, analyzing, and interpreting data from a variety of sources for MBSC. This individual is also responsible for
  • Selecting data samples, designing and implementing methods for statistical analyses for MBSC
  • Designing new questionnaires and data collection instruments, working with program staff to implement the questionnaires or data collection instruments, analyzing collected information and generating reports
  • Responding to questions, data needs and ad-hoc requests from collaborating hospitals and physicians
  • Recommending and developing new statistical analyses for quality improvement projects based on data collected by the MBSC
  • Working closely with the Program Directors to recommend and prepare reports, charts, tables, and other visual aids for tri-annual MBSC meetings, presentations, and papers
  • Creating and maintaining technical documentation for quality improvement programs
  • Taking the lead in the development of methods to evaluate progress of data collection on new projects
  • Working closely with ArborMetrix or other vendor to produce quarterly meeting data reports
  • Experience publishing in peer-reviewed journals
  • Master's degree preferred
  • Work Schedule
  • 40 hours/week
21

Senior Statistician / Principal Statistician Resume Examples & Samples

  • Represent the statistics function in support of clinical studies, generally supporting multiple studies at a time
  • Provide statistical support with minimal supervision 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
  • Support development and implementation of departmental standards and process improvements
  • Good knowledge of the pharmaceutical industry including understanding of clinical drug development process and associated documents
  • Good oral and written communications skills
22

Senior Principal Statistician Resume Examples & Samples

  • Implement project level database (including derived database), analysis and reporting standards. Provide suggestions to achieve high quality databases and specifications by working with Data Management and Programming at project level
  • Identify study-level vendor requirements and participate in the evaluation/selection of analytical vendors. Provide technical 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
  • Anticipate and communicate study level resource and quality issues that may impact deliverables or timelines. Propose and implement solutions. Escalate issues to management as appropriate
  • Consider and evaluate alternative analysis methodology and data presentation techniques
  • General project management skills
  • Good collaborative skills and ability to work with a cross-functional team
23

Principal Statistician / Senior Statistician Resume Examples & Samples

  • Independently represent statistics function on global or regional teams in support of clinical studies and projects
  • Promote innovative efficient trial designs
  • Independently conduct trial simulations to assess design options and analysis methodologies
  • Independently develop efficient analysis methodologies and responsible for completion of statistical analysis plan
  • Provide strategic statistical inputs to feasibility assessments, development and submission plans, and defense of regulatory submissions
  • Plays a key role in the development and review of the study synopsis, protocol, clinical study report, and other regulatory submission documents, ensuring accurate and statistically valid deliverables
  • 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, Safety Statistics, Clinical and PV to target high quality databases and specifications at compound level
  • Identify compound level vendor requirements. 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
  • Monitor and contribute to industry advances in statistical methods to optimize study designs and statistical analysis methods, and implement innovative
  • PhD in statistics or biostatistics with minimum of 3 years of relevant pharmaceutical industry experience or MS in statistics or biostatistics with minimum 6 years of relevant pharmaceutical industry experience
  • Profound understanding of clinical study designs, common analysis methods, descriptive and inferential statistics
  • Strong programming skills with common statistical software including SAS
  • Ability to represent Statistics function in interactions with regulatory agencies
  • Good vendor management skills
24

Statistician Senior Resume Examples & Samples

  • Acquires and maintains technical documentation of data from primary or secondary data sources
  • Seeks out and organizes data from diverse sources and organizes it in such a way that source data is retrievable and maintained but that appropriate data are linked or aligned for analyses
  • Performs data cleaning and quality review on raw data; documents methodology and maintains record of excluded data elements and rationale for exclusions
  • Meets with users and ensures clarity with deliverables and/or understanding of end point or output required; dialogues and reaches consensus with users regarding approach and design of data analysis
  • Establishes and/or collaborates on study design from a wide variety of perspectives, including sample size estimates and development of randomization schemes
  • Structures and develops appropriate data analyses in SAS or R or other appropriate statistical programs to maximize efficiency, replicability and flexibility of reportable outcomes
  • Interprets data and analyzes results using moderate to advanced statistical techniques appropriate to data in use
  • Identifies, analyzes and interprets trends or patterns in complex data sets
  • Builds quality checks into analytics to ensure outputs are correct and complete
  • Critiques analytic outputs from a quality and data integrity perspective and can self-correct when issues arise
  • Outlines timeframes or work plan with users re: key deliverables and times to share analyses, receive feedback and achieve consensus of product and insights
  • Defines with users methods of presenting data that best meets the needs of the audience to whom the data is being presented; develops and shares an understanding of what presentation styles work best for what types of data analyses
  • Delivers written summaries of methodology, analytic approaches and results to support data presentations, grants, reports, abstracts and manuscripts, as appropriate
  • Provides interpretation and insights from data analytics and trends, and can recommend a set of next steps in analytics or data collection to move project forward
  • Develops and implements data collection systems and other strategies to optimize statistical efficiency and data quality
  • Maintains meticulous record keeping and trail of analytics and decisions to support audit or quality review processes or functions
  • Locates and defines opportunities for improvement based on data trends, analytics and interpretations
  • A Master’s degree in biostatistics or other data-related field
  • Experience in the analysis and reporting of clinical trials
25

Senior Marketing Statistician Resume Examples & Samples

  • Educates and trains Marketing Statisticians about statistical techniques and modeling methodology
  • Builds statistical models to predict customer behavior and segment/profile customers
  • Integrates customer analysis with circulation, merchandise, and e-commerce analysis
  • Develops and updates name and sales forecasting models as assigned
  • Utilizes customer database reporting tools to extract data for statistical analysis
  • Must be able to attend face to face meetings on short or little advance notice
  • Work in the Marketing Department office environment requires in-person collaboration among colleagues and contractors
  • Participates in model and analysis quality management process
  • Keeps abreast of analysis practices for the catalog and direct marketing industries
  • Performs other related duties and projects as assigned
  • High level understanding of data measurement and data structures
  • Creative thinker able to solve complex analytic problems with little direction
  • Strong written and oral communications skills
  • Strong technical writing capability
  • Very detail oriented
  • Able to work independently on multiple, simultaneous projects under tight deadlines
  • Advanced knowledge of Excel®, Access® and/or similar software
  • Working knowledge of Microsoft Word and Power Point or similar software
  • Minimum three years experience in marketing analysis related to direct marketing, financial services or other service sector
  • Experience with statistical and data reporting tools (SAS preferred)
  • Experience with relational database query language such as SQL
26

Statistician Senior Resume Examples & Samples

  • Providing guidance regarding study design
  • Using Stata and/or SAS to clean, manage, merge, and analyze a wide variety of administrative and survey datasets
  • Supporting PIs, other faculty, and trainees in development of specific analysis plans
  • Summarizing, interpreting, and presenting results in written, tabular and visual formats for reports, manuscripts, and presentations
  • Participating as an active team member in discussions on analysis and improvement of data collection, quality of data analyses, programming, and documentation
  • Providing general analytic support to project faculty and staff
  • Bachelor's degree in statistics, biostatistics, public health, or a related field
  • Three or more years of experience with Stata and/or SAS, and three or more years of experience in database management and statistical analysis, including survey data analysis and multivariate analysis
  • Ability to calculate both descriptive and inferential statistics in accordance with project designs
  • Experience with complex data structures and linkages between data sources, especially health-related data (insurance/administrative claims)
  • Strong interpersonal and written communication skills. Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results, as well as create charts, tables, and other visual aides
  • Excellent communication, both oral and written, and interpersonal skills are essential
  • Desired Qualifications*
  • Master's degree or PhD preferred
  • Five or more years of experience in database management, statistical analysis, and computer programming
  • Experience with psychometrics
  • Experience with longitudinal data analysis
  • Health policy experience
  • Additional Information
  • This is a term limited position, with the possibility of continued employe dependent upon additional funding. Funding currently approved throught September 30, 2017
27

Statistician Senior Resume Examples & Samples

  • Work with the Project Manager and Program Evaluation Specialist to evaluate and ensure data quality for all participating hospitals
  • Develop SAS code for completing analyses and maintain code library, including documentation, that includes output validation
  • Collaborate with Principal Investigators and other team members to lead analytic approaches
  • Determine study design and data sources for wide variety of activities, including quality improvement, utilization, cost, and other research areas
  • Produce quality measurement comparisons across multiple metrics at all participating hospitals Identify opportunities for improvement with quality of care and costs across both hospitals and providers
  • Successfully and independently accomplish a wide variety of analytical requests, including investigator or project initiated work in support of publication or simple quick-turnaround data requests for funding sources and collaborative member sites
  • Bachelor’s degree - preferably in economics, statistics, or another Social Science
  • Ability to maintain large data files in Microsoft Excel, SAS, and possibly other databases, to support analysis and reporting. This includes tasks such as merging files, adding cases and variables, restructuring and recoding variables, assigning labels and values, checking for errors, etc
  • Programming documentation, testing and validation experience in a research environment
  • Fluency with SAS/Statistical programming package for file merging, table lookup, etc
  • Knowledge of, and experience with, common analytic techniques, such as analyses of variance, factor analyses, reliability analyses, statistical processes control, linear and hierarchical modeling
  • Ability to work independently and handle multiple assignments and deadlines
  • Successful experience in collaboration with others in a team environment
  • Strongly prefer candidate with experience with Medicare and/or other administrative claims-based datasets
  • General knowledge of commonly applied observational study methodologies (e.g., hierarchical modeling, propensity matching, difference-in-differences, instrumental variable analyses), administration, and analysis techniques a plus
28

Senior Statistician, Advanced Analytics Resume Examples & Samples

  • Collaborate extensively with business owners, subject matter experts, and go to market teams to develop and deliver analytics leveraging data asset to support CRO business, including responding to RFPs, optimizing design and execution of clinical trials, and improving risk management
  • Oversee multiple projects from concept to completion
  • Direct analytical methodology research, project execution, streamlining process and building efficiencies
  • Strong academic track record including minimum Bachelor/Master degree in Statistics, Economics/Econometrics and Computer Science or in related field with at least 2 years of experience
  • Strong analytic mind-set and logical thinking capability
  • Fast learning curve with consulting fundamentals
  • Statistics modeling and machine learning skills, SAS skills, R skills with strong QC mind-set
  • Ability to select appropriate data assets and design study methodology to achieve the study objectives
  • Ability to work on multiple projects and to manage project timelines
  • Good people-skills and team player
  • Clear written and oral communication in English & Korean both concerning the technical aspects of a project and the ability to develop usable documentation
  • General management consulting or healthcare consulting experience is preferred
29

Statistician Lead / Senior Resume Examples & Samples

  • Use advanced statistical methods to analyze data from large administrative databases across a national healthcare system
  • Comprehensive knowledge of statistical methods
  • Master’s degree in a quantitative field, such as biostatistics, statistics, epidemiology
  • 2 years of experience using relevant statistical software (SAS, Stata, R)
30

Senior Survey Statistician Resume Examples & Samples

  • Determine appropriate sampling frames (ABS, landline and cell RDD, list samples) and modes (face-to-face, phone, mail, web, mobile apps, text messaging), or mixes of frames and modes, most appropriate for the client needs
  • Develop sampling designs for complex surveys
  • Identify strategies for sampling rare populations
  • Work with large federal public use datasets, such as ACS, NHIS, CPS, QCEW and PDB, to develop optimal sampling strata, and to inform weight calibration procedures
  • Conduct power analyses to determine required sample sizes
  • Develop and implement weighting protocols for complex surveys (including creation of replicate weights)
  • Perform model-based imputation
  • Implement quality control procedures, including nonresponse and mode effect analyses, quantification of nonresponse and non-coverage biases
  • Calculate response rates, standard errors and design effects
  • Prepare methodological reports on sampling and weighting procedures
  • Provide thought leadership through methodological research
  • Ph.D., ABD or Master's degree in statistics, quantitative survey methodology, or a quantitative social science field. Master's-level applicants should have extensive prior experience working on complex surveys in a setting of a survey research organization
  • Strong SAS, Stata, R or Python programming skills
  • Working knowledge of sampling inference and applied sampling strategies
  • Working knowledge of the total survey error paradigm, models of survey response, cognitive and social aspects of survey measurement
  • Strong writing, presentation, and interpersonal communication skills
  • Demonstrated ability to conduct methodological research
  • Complementary expertise in additional areas of statistics and data science, including, but not limited to, mixed models, missing data, machine learning, text analytics, econometrics, or other quantitative social science areas
31

Statistician Senior / Intermediate Resume Examples & Samples

  • A Bachelor's degree in a recognized field of science or learning which is directly related to the duties of this position
  • 3-5 years of professional experience
  • Knowledge of a wide range of statistical techniques and methodologies
  • Master's degree in biostatistics, statistics, or equivalent
  • At least 2 years’ experience in the medical research field
  • Underfill Statement
32

Senior GIS Brand Pricing Statistician Resume Examples & Samples

  • A four-year degree, or its equivalent, in a business curriculum, preferably marketing, economics or statistics. MBA or MS in applied quantitative or statistical methods is ideal
  • Demonstrated analytical and critical thinking skills
  • Complete knowledge of database analysis tools and techniques, including SQL, SAS, SPSS, Access and Excel
  • At least 2 years of practical experience in a large corporate setting, including demonstrated ability to collaborate and influence multiple stakeholders
  • Written and oral communication skills to present clear and concise conclusions and recommendations to a variety of audiences
  • Organizational skills to coordinate and complete multiple and varied projects
33

Senior Data Statistician Resume Examples & Samples

  • Design efficient & effective models to solve business problems and maximize ROI for QVC. Educate QVC clients and provide guidance on analytics best practices for program design and measurement
  • Apply knowledge of statistics to solve practical QVC commerce, marketing and operations problems
  • Design and execute high-impact research studies for new concept testing by applying state-of-the-art proprietary technology (e.g. Nielsen’s Optimizer) and developing cutting-edge statistical models
  • Design and analyze proprietary studies, incorporating statistical models to identify and diagnose new product launch evaluations
  • Design and execute discrete choice and conjoint studies to analyze consumer switching behavior based on discrete choice data and conjoint multivariable regression models to assess QVC business questions, including channel optimization and price sensitivity
  • Conduct validation research on existing statistical methods, and develop enhancements as needed
  • Partner with clients to understand their needs and perform relevant quantitative analysis, and create analytical prototypes for research and development purposes, using modern analytical programming and optimization algorithms and models
  • Automate additional reporting processes to empower non-analytics team members to report computation results on an on-going basis
  • Document and present analytically derived results to internal business partners and external clients
  • Communicating clearly and concisely to individuals from various backgrounds
  • Influencing others in both verbal and written mediums
  • Leveraging education, colleagues and training opportunities to develop solutions to business problems
  • PH.D. level education in mathematics, computer, statistics, physics
  • 6 years applied experience in retail, banking on-line marketing strategic analytics
  • Experience with advanced statistical methods ranging from OLS modeling, cluster, hypothesis and covariance testing, to machine learning, path analysis and attribution analytics
  • Deep experience in statistical programming (SAS,R) on UNIX high performance computing platforms
  • Experience with logistic regression, decision trees, survival analysis, design of experiment and other statistical techniques
  • Exceptional written and oral communication skills with ability to formulate insights around complex business problems
  • Relationship builder who is solutions-oriented and can effectively link the interests of multiple stakeholders
34

Senior Statistician, Research Resume Examples & Samples

  • Provide statistical expertise for design, analysis and reporting of clinical or scientific research studies
  • Develop standardized reusable JReview Objects and Views. Work with Medical Safety Evaluation (MSE) and PST Statisticians to formulate, conduct, and interpret appropriate queries of safety data using JReview and other analytic tools. Develop, as needed, ad-hoc JReview objects and views for evaluating potential safety signals. Champion and promote the use of safety review tools (e.g., JReview and SDRT) among PST physicians and MSE
  • Provides responses to routine questions from clients, scientific insight when answering nonstandard questions, and independently pursues analyses suggested by the data. Responsible for developing and maintaining good client relationships
  • Maintains technical skills and increases own knowledge of new statistical methodology or areas of application through use of the scientific literature and attendance at professional meetings
  • Presents own statistical research or review of the statistical literature at meetings and seminars
  • High degree of technical competence and sound communication ability, both oral and written
35

Senior Statistician / Analyst Resume Examples & Samples

  • Business Owner and Admin for Global Facilities Repository (Cognos/Teradata/Hyperion)
  • Project Management – Business design (Business Requirements, CDE definitions, Dimensions, hierarchy structure, source identification)
  • Partner with IT - Build test, and deployment
  • Validate and verify uploaded results (Regions & Countries)
  • Raise production tickets and work with EDW Ops to solve sourcing issues
  • Provide Ad hoc Analytics – Monthly reports to the business (Scheduled and On Demand)
  • Builds & operationalizes operational processes to ensure timely data loading, maintain relevance & accuracy of data
  • Supports & executes change management activities around testing, and training
  • Works within & across work streams to understand business, functional and data requirements
  • Identifies, communicates, and works to resolve data gaps that impact fulfillment of business and functional requirements
  • Data Custodian for CPR key data elements (GEARS Accounts, Cost Center, Sub function, Expense Category)
  • Prior experience in System and Data Analysis (Reconciliation, Reporting, and Analytics)
  • Credibility to work & engage with IT, Global, Regional and Functional Business teams
  • Problem solving and analytical abilities
  • Strong interpersonal skills and commitment to teamwork and partnerships
  • Strong oral and written communication
  • Highly proficient personal computer skills
  • Ability to prioritize assignments/projects and multi-task within restricted time constraints
  • Ability to network and collaborate cross-functionally
  • Hyperion experience preferred
  • Cognos, Microsoft Power BI Desktop, and Tableau, a plus
36

Statistician Senior / Intermediate Resume Examples & Samples

  • Gather, analyze, and interpret data from a variety of sources for the Michigan Surgical Quality Collaborative
  • Write, text and implement programs using SAS to clean, manage, merge, and analyze large, complex datasets
  • Respond to questions, data needs and ad-hoc requests from collaborating hospitals and physicians
  • Select data samples, design, and implement methods for statistical analyses for the quality improvement programs and research studies. This includes data validation and inter-rater reliability
  • Summarize, interpret, and present results in written, tabular, and visual formats
  • Create, prepare and maintain technical documentation of data and analysis files
  • Assist in the writing of manuscripts and grant proposals
  • Work with vendors to develop and document new reports, and validate and troubleshoot analytic discrepancies with vendors
  • Work closely with the Directors/Statistician Expert to recommend and prepare reports, charts, tables, and other visual aids for the MSQC Annual Conference and regular meetings (3 x per year) presentations, and papers
  • Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation
  • Required Qualifications*
  • Bachelor's degree in Statistics, Biostatistics, Public Health, Computer Science, or related field and 3 to 5 years of professional experience
  • Proficiency with SAS for data management and statical analysis
  • Experience with Microsoft Excel and PowerPoint for the development of presentation materials
  • Experience with relational databases, complex data structures, and linkages between data sources
  • Strong interpersonal and written communication skills. Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results. Excellent communication, both oral and written in English language, and interpersonal skills are essential
  • Ability to prioritize, organize, and efficiently work on multiple projects at the same time
  • Working knowledge of epidemiologic concepts and methodology
  • Master's degree in Statistics, Biostatistics, Public Health, Computer Science, or related field
  • Direct experience in directing, managing and analyzing research projects using large administrative and medical databases
  • Programming proficiency using SQL
  • Experience with additional statistical software and programming languages and/or the ability and willingness to learn as necessary
  • At least one year of full-time experience working with clinical data is preferred
37

Senior Principal Methodology Statistician Resume Examples & Samples

  • Act as an international specialist in applied statistical methodology to foster methodological innovation in BI Clinical Statistics and develop innovative, more efficient statistical methods for ready-to-use application in BI studies and projects
  • Identify and evaluate innovative statistical methods for efficient clinical trial design and analysis and transform promising methods into ready-to-use toolkits. Identify and evaluate commercially available statistical software solutions and be responsible to manage training and implementation in the global Statistics organization. Take over CSV Validation Manager role in validation of corresponding applications
  • Lead and/or participate in international BI statistics working groups on standardization and innovation of methodology
  • Record of publications in applied statistical methodology and/or clinical trials
  • Sound knowledge of statistical methodology and their relevance for Pharma development
  • Demonstrated ability to work successfully on international project teams
38

Senior Principal Statistician Resume Examples & Samples

  • Provide statistical leadership in support of the Global Product Statistician (GPS), be a newly appointed GPS, or lead strategic capability or business area improvements with minimal supervision
  • Serve as primary author for statistical sections of protocol concept sheets (PCS), protocols, clinical development plans (CDP), and integrated product development plans (iPDP)
  • Perform statistical analyses and create statistical text for clinical publications and other communications
  • Provide direction and statistical oversight to outsourcing partners/providers regarding requirements and standards for study-level work, holding partners/providers accountable for the quality of their deliverables
  • Define and lead analysis of relevant internal and external information to inform design decisions
  • Provide statistical support and leadership to clinical trial teams (CTT), clinical sub-teams (CST) and product development teams (PDT) on the development of Target Product Profile and Target Product Claims (TPP/TPC), Benefit, Risk, Value and Uncertainty (BRV(U)), clinical development plans (CDP), and regulatory strategy
  • Lead development of components of regulatory submissions (eg, briefing documents, response to FDA requests, BLA/NDA, and sBLA/sNDA) and may represent MedImmune/AZ Statistics to Health Authorities (eg, Pre-IND and End of Phase II meetings)
  • May provide highly experienced expert statistical leadership to the development of the capability area and to PDTs, promoting good statistical practice
  • May represent the company’s position in their contacts with external experts
  • May also participate in providing statistical support/strategy for post-marketing/Medical Scientific Affairs activities
  • Requires juggling multiple projects with varying priorities. Requires ability to recognize issues that may critically affect statistical analyses and to relay that information to appropriate level of management
  • Minimal supervision, appropriately and pro-actively consulting with key stakeholders (eg, GPS) and line management where needed to ensure a successful outcome to agreed time, cost and quality
39

Senior Principal Statistician Resume Examples & Samples

  • Comprehensive knowledge of and experience with statistical methods and applications in study design and analysis
  • Ability to effectively oversee work of outsourcing partner
  • Ability to effectively collaborate, communicate, and influence throughout multiple levels of the organization
  • Experience in development of clinical development plans, protocols, statistical analysis plans, and clinical study reports
  • Experience as an independent lead statistician with responsibility for multiple studies or projects
  • Experience in regulatory interactions and submissions
  • Comprehensive knowledge of statistical methods and applications in study design and analysis
  • Ability to innovate creatively in a clinical study design setting
  • Ability to communicate with clarity and influence
  • Knowledge of ICH/EMEA/FDA guidelines
  • Demonstrated ability to serve effectively as a delivery team leader
  • Ability to manage and mentor project statisticians
  • Demonstrated ability to effectively collaborate and influence throughout multiple levels of the organization
40

Senior Principal Statistician Resume Examples & Samples

  • Provide statistical support for GTO projects, support acceptance criteria setting and data analysis for
  • Demonstrated competency in managing multiple projects and processes
  • Comprehensive knowledge of applied statistical principles and modeling in the design and analysis of non-clinical studies, process monitoring and control
  • Familiar with pharmaceutical or biotechnological manufacturing process and regulations as well as the validation and technology transfer of analytical methods
  • Proficiency in statistical software such as JMP, SAS and R
  • Apply advanced statistical principles, theories, and concepts to make life-cycle changes to manufacturing processes as well as analytical specifications
  • Contribute to the development of novel statistical methods to resolve problems during manufacturing operations as well as analytical testing
  • Excellent interpersonal skills and effective oral and written communication skills
  • Excellent organizational skills and successful management experience
  • Experience in departmental SOP and process development improvements
  • Comprehensive knowledge of regulatory guidelines
  • Experience in interactions with regulatory agencies and submissions
  • Experience in technology transfer (both process and analytical), process monitoring and improvement
41

Real World Evidence Senior Statistician Resume Examples & Samples

  • Support of cross-functional teams in developing clinical development plans (CDPs), including post approval commitments and/or requirements for regulatory authorities like EMA and FDA
  • Support of cross-function teams in developing life cycle management plans (LCMPs), including data generation activities based on RWD sources (post approval setting)
  • Designing, execution, analysis and reporting of RWE studies in the pharmaceutical industry setting
  • Close collaboration with external entities (e.g. key opinion leaders, academic entities and CROs) in the conduct of RWE studies
  • Support of regulatory submissions, health technology assessments (HTAs) and publications within global, cross-functional teams
  • Implementation of appropriate statistical techniques and ability to explain their strengths and limitations
  • Increase knowledge of RWE and indirect (network meta-analysis) methods and their implementation
  • Increase knowledge of RWD sources (e.g. disease registries and claims)
  • Participate in cross-functional initiatives regarding RWE
  • LI-DEN1
  • Knowledge of drug development (clinical and post-approval) and understanding drug development as a continuum
  • Experienced with ICH GCP, regulatory (e.g. EMA and FDA) and HTA (e.g. NICE and HAS) guidelines
  • Thorough understanding of statistical and epidemiologic methods used in RWE studies
  • Good understanding of the communalities and differences between primary and secondary data collection
  • Programming experience with R, SAS or other statistical software packages
  • Ability to work independently on routine assignments and under little supervision on new assignments
  • Demonstrate strong organizational skills, including the ability to prioritize workload
  • Demonstrated ability to work as part of a cross-functional team
  • Good strategic ability (including problem solving, critical thinking skills and thinking cross-functional)
42

Senior Survey Statistician Resume Examples & Samples

  • Develop solutions to problems where established theories and techniques have not been identified or where established procedures are not yet available
  • Lead or assist in the development of innovative sampling design and analysis procedures
  • Lead or assist with sample size and power calculations
  • Lead or assist with sample frame construction
  • Specify weighting methods and other methodology, such as imputations, to compensate for missing survey data
  • Conduct data processing and technically complicated data analysis without supervision
43

Senior Principal Statistician Resume Examples & Samples

  • Provide statistical leadership and guidance in the completion of major clinical programs
  • Consult with staff on statistical and analysis issues
  • Provide leadership in the design of complex clinical studies. Participate in the development of study protocols, including refinement of the study objectives and endpoints. Has responsibility for study design, including statistical hypotheses and sample size estimation; and statistical analysis plan. Prepares statistical sections of protocols. Writes statistical analysis plans for studies
  • Provide statistical expertise and leadership for regulatory submissions; including statistical methods, table and graph shells and statistical programming specifications, analyses and data presentation, interpretation of results, and report writing; and to study teams in responses to regulatory agencies, negotiations with regulatory agencies, and in meetings with regulatory agencies
  • Provide statistical expertise and leadership for marketing and physician requests; including statistical methods, table and graph shells and statistical programming specifications, analyses and data presentation, and interpretation of results for abstracts, presentations, and manuscripts
  • Provide leadership in the development and implementation of statistical process improvements
  • Evaluate new statistical methodologies and provide leadership in their development and implementation for the analyses of clinical data
  • Participate in the development and improvement of the database systems, including specifications for the database design to assure the availability and quality of the clinical study data
  • Identify potential threats to study credibility and validity; work with study teams to prevent and manage potential problems
  • Assist clinical staff with other duties as requested
  • Masters degree in statistics, biostatistics, biometry, or epidemiology
  • 12+ years of experience with Masters (9 years with PhD) in the design and analysis of clinical studies
44

Senior Analyst / Statistician Resume Examples & Samples

  • Support the Director of Advanced Analytics to advance analyses conducted within the organization from descriptive to prescriptive and ultimately predictive analytics
  • Identify opportunities across the organization and leverage predictive analytics to improve business performance and reduce inefficiencies
  • Assemble, analyze and interpret large data sets from multiple sources to measure student ROI
  • Perform segmentation analyses to uncover insights so as to optimize the admissions process, drive higher student engagement, continuation and graduation rates
  • Analyze survey data to identify opportunities to increase student satisfaction and consequently ROI
  • Communicate analysis outcomes and implications in many formats within Strayer
  • 3-5 years hands-on experience developing predictive models and conducting statistical analyses
  • Experience working with large datasets
  • Proficient in SQL and at least one of the following programming language (Python, R or SAS)
  • Proficiency in econometric or statistical experimental design, ability to design and implement model documentation and monitoring protocols
  • Advanced knowledge of applied statistical methodologies including least squares regression, logistic regression, sampling methodologies, cluster analysis, decisions trees, multivariate methodologies
  • Creative thinker and problem-solver who can effectively collaborate across teams and functions
  • Knowledge of machine learning is preferred
45

Senior Mktng Database Statistician Resume Examples & Samples

  • Bachelor’s degree or equivalent training in quantitative analysis field
  • Demonstrated fundamental data analysis skills, understanding of population distributions, data quality and cleaning, missing replacement, variable transformations
  • Demonstrated experience building/working with predictive models
  • Master's degree in statistics
46

Senior Compliance Manager, Cfbc Statistician Resume Examples & Samples

  • Oversees projects involving most critical and complex laws and regulations that have a significant impact on the operations or strategy of the Company
  • Interacts with management at most senior level
  • Analyzes and reports performance information to develop internal processes to identify and manage compliance risks
  • Oversees and encourages process improvement efforts within and across department team
  • Speaks at relevant conference forums
  • Oversees the planning, creation and maintenance of Corporate compliance database(s) to collect, manage and report information required by management
  • Oversees the performance of specialized programming tasks requiring technical proficiency in such areas as database programming languages, process automation, and HTML programming
  • Serves as senior project manager for the development, testing, and implementation of new department databases and major database enhancements
  • Manages the resolution of compliance-related problems encountered by various areas of the Company as related to the most critical laws and regulations
  • Represents Department or Chairs various Company Committees to address activities that are impacted by compliance laws and regulations
  • Manages the development of appropriate policies and procedures to provide for compliance with the most critical laws and regulations having a significant impact on the operations or strategy of the Company
47

Senior Survey Sampling Statistician Resume Examples & Samples

  • Developing and conducting imputation for item nonresponse and estimating sampling errors using appropriate software
  • Writing specifications for programmers; and preparing reports on sample design, weighting procedures and other methodological issues
  • Demonstrated experience meeting with clients and conveying complex statistical concepts
48

Statistician / Senior Resume Examples & Samples

  • Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation
  • Monitors and analyzes complex systems to understand, diagnose, and continuously improve key performance indicators
  • Assists with the design of research protocols including sample size calculations and randomization
  • Writes statistical methodology and results for technical reports and publications. Develops metrics and scorecards
  • Manipulates, combines, and refines large databases to produce information suitable for analysis
  • Creates graphics for data visualization and information display
  • Works with researchers to shape and direct research questions
49

Senior CMC Statistician Resume Examples & Samples

  • Design, monitor, and analyze databases of manufacturing and associated clinical data for identification of trends and correlations as well as process control
  • Suggest further experimentation on manufacturing or clinical parameters that have the potential to be impactful
  • Anticipate and address issues in manufacturing
  • Provide technical input and investigation support for deviations/OOS and release decisions
  • Provide technical input in support of regulatory submissions and process/assay validations
  • Assist in the design of experiments and process/assay validations
  • Assist in the organization, analysis, and interpretation of experimental, manufacturing, and validation data
  • Provide statistical sections of technical reports as needed
  • Function as a statistical resource to development and operational teams
  • Interact with other CMC teams including Operations, QA, Development, and Regulatory
  • Foster strong inter-team relationships to achieve common project goals
  • B.S. with 10 - 15 years, M.S. with 8-12 years, or Ph.D. with 2-4 years relevant experience in Statistics, Engineering, or related discipline
  • Extensive experience applying design of experiments and statistical process control in a regulated manufacturing environment is preferred
  • Basic knowledge of cellular therapies is preferred
  • Proficiency with the computer systems (JMP, Minitab, R) and support tools needed to conduct statistical analyses
  • Familiarity with common methods such as Multivariate Regression, Equivalency Testing, Control Charts and Sampling Plans, DOE, Data Mining
  • Established track record of success with sound technical qualifications and knowledge in process development, characterization, and validation
  • Excellent communication, writing, organizational, teamwork, and presentation skills to help non-experts understand and value statistical results and approaches
  • Interpersonal and leadership skills to work with teams in different functions and organizations
50

Senior Clinical Statistician Resume Examples & Samples

  • Collaborate with representatives from other functions in designing, planning and conducting analyses of post marketing clinical studies and observational studies
  • Perform exploratory analyses from existing Bayer clinical databases and perform meta-analyses
  • Collaborate with Medical Affairs teams on publications, presentations and posters
  • Perform scientific review of study protocols and study proposals
  • Develop statistical methodologies for analyzing data from Real Life Evidence projects (observational studies, epidemiology and RLE databases)
  • Provide statistical guidance and training to cross functional teams
  • Assume responsibility for the production and accuracy of the statistical analysis and interpretation of the statistical analysis results
  • Work independently on routine and complex statistical questions and tasks
51

Senior Clinical Statistician Resume Examples & Samples

  • Perform exploratory analyses from existing company clinical databases and perform meta-analyses
  • MS/PhD degree in statistics/biostatistics or a relevant field
  • At least four years of experience working with/analyzing Phase II/III clinical trial data (in pharmaceutical or CRO), and preferably experience with observational studies
  • Good knowledge of clinical trial designs, common analysis methods, descriptive and inferential statistics, summarization of data and presentation practices
  • Hands on experience of survival analyses and categorical data analyses
  • Knowledge in epidemiology and meta-analyses is a plus
  • Proficiency in SAS
  • Experience in writing statistical analysis plans, including table shell specifications
  • Good knowledge of CDISC SDTM and ADaM
  • Ability to work independently, toward the primary responsibility of generating and validating analyses and preparing supporting documentation
  • Good oral and written communication skills
52

Statistician, Senior Resume Examples & Samples

  • Document and be able to articulate steps taken in an analysis to project managers
  • Answer questions about data sets and analyses
  • Master the desktop and UNIX/WINDOWS toolset (SAS, SAS ODS, R, Excel, PowerPoint, Word) to create content for evaluating statistical analyses such as tables, reports, graphs, etc
  • Minimum of 4 years of related experience
  • Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook
  • Familiarity and basic knowledge of open source statistical programs like R, Python and KNime
  • Database marketing experience/knowledge