Statistical Associate Resume Samples

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SK
S Kozey
Shaniya
Kozey
34951 Lucienne Lodge
Dallas
TX
+1 (555) 135 3806
34951 Lucienne Lodge
Dallas
TX
Phone
p +1 (555) 135 3806
Experience Experience
Houston, TX
Statistical Associate
Houston, TX
Runolfsdottir-Barrows
Houston, TX
Statistical Associate
  • Assist with managing Disney Vacation Club room inventory
  • This role is responsible for maintaining compliant standards for the sale of accessible rooms according to the Americans With Disabilities Act (ADA)
  • Summarize findings, prepare executive summaries and work on business improvements and solutions with other internal clients
  • Analyze and summarize data form multiple data sources (e.g., Food & Beverage Data Warehouse, D3, SAP, Longview)
  • Daily, Weekly, and Quarterly system audits (e.g., t-log data, Guest count reconciliation, RTP exception clearing)
  • Support Domestic Cost of Sales Forecast by completing cost pressure reporting, kitchen variance reporting, journal entries, and assisting with variance explanations and research
  • Creating reporting and financial models
Chicago, IL
Associate Statistical Modeler
Chicago, IL
Prohaska-Davis
Chicago, IL
Associate Statistical Modeler
  • Develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production code
  • Interpret, document and successfully communicate analytic work and/or results to stakeholders, including those in non-analytic roles
  • Perform advanced multivariate analyses including logistic/linear regression, segmentation analysis, discriminate analysis, cluster analysis and customer profiling; special focus on retention and next-best/cross-sell products
  • Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions
  • Explore opportunities to enhance existing content or evaluate new data sources to improve product solutions
  • Conduct analysis and produce reports in support of both existing and new product development and/or customer sales
  • Responsible for model development, scoring and selection
present
Chicago, IL
Associate Director, Statistical Programming
Chicago, IL
Gutkowski, White and Jaskolski
present
Chicago, IL
Associate Director, Statistical Programming
present
  • Develop programming code according to standards to reinforce standardization and improve programming efficiency
  • Act as subject matter expert (SME) or lead process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures
  • Foster team building and a collaborative work environment. Ensure consistency and efficiency in programming practices
  • Ensure daily programming practices meet industry standards and are consistent with internal SOP
  • Lead or participate in data standards process improvement working groups
  • Serve, as necessary, as a Lead Programmer and manage the statistical programming efforts. This may include additional responsibilities including, but not limited to
  • Mentor junior level staff in programming practices, implementation of standards and project management
Education Education
Bachelor’s Degree in Technical Competence
Bachelor’s Degree in Technical Competence
University of Georgia
Bachelor’s Degree in Technical Competence
Skills Skills
  • Flexibility of schedule and ability to change priorities quickly in response to deadlines
  • Knowledge of, and experience with, application of statistical methods for analysis of biomedical data and ability to learn and apply unfamiliar methodologies
  • Excellent oral and written communication skills in English, particularly the ability to communicate technical information to non-technical colleagues
  • Excellent organizational skills and attention to detail
  • Ability to work independently as well as in a collaborative, team-oriented environment
  • Ability to program using large healthcare data sets
  • Programming capabilities in SAS and R and ability to learn new statistical packages and computing environments
  • Ability to self-monitor progress on long-term projects and complete assigned tasks independently
  • Ability to work on multiple projects in the same time frame, including both long-term and short-term projects
  • Actively participates in local research seminars and lectures
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15 Statistical Associate resume templates

1

Time & Admin Statistical Associate Resume Examples & Samples

  • Demonstrated strong organizationsl skills, attention to detail, strong problem solving and decision making skills
  • Ability to comprehend basic analytical concepts
  • Ability to work in a fast-paced environment with tight deadlines
  • Ability to balance multiple tasks and perform daily accountabilities in an efficient manner
  • Demonstrated strong technical ability, computer proficiency, and experience with databases and spreadsheets (i.e. MS Excel, MS Access, or SQL Server)
  • Ability to learn new software applications and analytical tools
  • Ability to be flexible with work schedule, including weekends and holidays
  • Knowledge and/or experience with labor concepts, processes, and systems (i.e. GEMS, EHH, CDS, Workbrain)
  • Knowledge and/or experience with SAP
  • Experience with SQL Server Databases, Business Objects, and Visual Studio 2005 or above
  • Ability to communicate technical concepts to a non-technical audience
  • Bachelor’s degree or degree seeking
2

Statistical Associate Resume Examples & Samples

  • Demonstrated problem solving skills, as well as continuous improvement skills
  • Demonstrated strong analytical skills
  • Demonstrated computer proficiency
  • Advances skills in quantitative analysis and data summarization using Microsoft Excel
  • Experience with at least one of the following software packages: SAS, Minitab, JMP or R
  • Willingness to learn new software applications and quantitative skills
  • For DRC Cast Members: No more than one F/O ( F = Falling Behind and O = Off Track) in Presenteeism in the last six months and no more than one written reprimand in the last six months
  • Proven experience with relational databases
  • Proven experience with data analysis and statistical methods
  • Proven experience with forecasting methods
  • Demonstrated strong influencing ability
  • Self-motivated with a desire to excel in a highly innovative and entrepreneurial environment
  • Bachelor’s degree in a quantitative field or equivalent
3

Statistical Associate Resume Examples & Samples

  • Create and manage the accessible rooms availability calendars for Walt Disney World and Disneyland
  • Manually update select partner extranet sites with ADA availability
  • Assist with managing Disney Vacation Club room inventory
  • Saturday and Sunday availability
  • Computer proficiency in a Windows environment
  • Proficiency in Microsoft Word, Excel, and Outlook
  • Knowledge of Avail, Dreams, and AS400z systems
  • Strong organizational skills with attention to details
  • Minimum one year Walt Disney World experience
  • Demonstrated strong time management skills
  • Business Objects knowledge
  • Microsoft Access knowledge
  • Associate’s degree or equivalent
4

Associate Statistical Modeler Resume Examples & Samples

  • Develop scoring models and statistical analysis; provide code to customers or internal contacts to validate accuracy of production scoring code
  • Interpret business plays to recommend (and execute) an analytic plan to supervisor and/or client
  • Follow modeling best practices and provide feedback on ways to enhance current practices
  • Provide technical support and be a resource to internal and external modelers
  • Build statistical models and complete various analytic projects for a variety of applications including risk, fraud, collections in insurance, credit, telecom, collections, and government verticals. These projects will support internal development projects as well as client sponsored projects
  • Conduct analysis and performance reports in support of existing and new customer sales
  • Summarize and communicate conclusions and solutions to analytic and non-analytic stakeholders
  • 3-5+ years demonstrated applied modeling and analytics experience in applicable industry
  • Strong understanding of statistical methods applied to data analysis
  • User of SAS, SPSS, R or equivalent analytic software
  • Understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques
  • Fluency with Excel, PowerPoint and Word
  • Strong oral and written communication skills, including the ability to describe statistical results to non-statistical audiences
  • Experience processing large data sets
  • Experience matching/merging multiple data sets
5

Statistical Associate Resume Examples & Samples

  • This is a part-time hourly role with Saturday and Sunday availability required
  • This role is responsible for maintaining compliant standards for the sale of accessible rooms according to the Americans With Disabilities Act (ADA)
  • Support Revenue Management’s wholesale partners by creating and managing the accessible rooms availability calendars for Walt Disney World and Disneyland
  • Manually update select partner extranet sites with ADA availability by opening and/or closing dates
  • Additionally, this role may assist with managing Disney Vacation Club room inventory by manually modifiying member and rental availability
  • Availability to work Saturdays and Sundays and to be flexible with work schedule as needed
  • Computer proficiency in a Windows environment (i.e., MS Word, Excel, and Outlook) with the ability to learn new systems quickly
  • Strong organizational Ability to work independently
  • Minimum one year Walt Disney World resorts experience
  • AVAIL, DREAMS and/or AS400Z systems knowledge or experience
6

Statistical Associate Resume Examples & Samples

  • Summarize findings, prepare executive summaries and work on business improvements and solutions with other internal clients
  • Support other team analysts and leadership as required
  • Demonstrated strong client partnering skills
  • Demonstrated accuracy in maintaining database and Excel data spreadsheets
  • Demonstrated ability to work independently as well as with a team
  • Demonstrated ability to build predictive models for related analysis
  • Ability to work in a fast pace environment with tight deadlines
  • Knowledge of contact center applications such as Aspect eWorkforce, Avaya (Center-Vu Supervisor), Centerbridge
  • Prior experience in contact center environment
7

Associate Statistical Analyst Resume Examples & Samples

  • Bachelor's degree in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required; advanced degree is preferred
  • 2+ years of SAS programming experience (PC, UNIX or mainframe)
  • 3+ years of related analytical experience
  • Strong analytical, technical and statistical skills. Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions
  • Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables. Ability to manage and prioritize projects across cross-functional groups
8

Associate Statistical Modeler Resume Examples & Samples

  • Conduct analysis and performance reports in support of existing and new product development, and/or customer sales
  • With direction, develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production scoring code. 3. Follow established best practices in statistical work
  • Assemble, merge, and parse large amounts of data to detect meaningful trends and patterns
  • Provide support for client inquiries regarding score calculations or other analytic output
  • Understand analytic plans and follow these plans by identifying and executing the appropriate statistical or modeling technique
  • Clearly document and communicate analytic work and/or results
  • 0-3 years experience in building predictive models using SAS or similar software package
  • Knowledge of statistical analysis methodologies and exposure to SAS or similar software package
  • Ability to learn quickly and communicate effectively
9

Associate Statistical Modeler Resume Examples & Samples

  • With direction, develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production scoring code
  • Follow established best practices in statistical work
  • Bachelors Degree in computer science, mathematics, statistics or quantitative methods (or equivalent years experience)
  • Medical Claims experience a plus
10

Statistical Modeler, Associate Resume Examples & Samples

  • Run all components of the bank’s OpRisk capital model on a periodic basis 45%
  • Coding/testing/debugging – write new statistical modeling routines; update/modify existing routines as needed. Statistical routines will include a variety of univariate and multivariate probability distributions, as well as Monte Carlo simulation programs. 15%
  • Work with the Quantitative Analysis Mgr to recommend viable statistical approaches for addressing model needs. 15%
  • Write/maintain model documentation 10%
  • Conduct exploratory data analysis on the bank’s OpRisk data 10%
  • Build components of the bank’s OpRisk stress test models 5%
  • Should be proficient in probability theory and fitting data to probability distributions
  • Should be well-versed and experienced in applied multiple regression analysis
  • Should be experienced in working with multiple datasets
  • Should be an advanced user of the following packages/languages
  • SAS Modeling experience
  • MS Office packages such as Excel, Word
  • R Modeling experience (plus, but not required)
  • SAS/STAT, SAS/IML (plus, but not required)
  • Good presentation skills (a plus)
  • Requires a graduate degree in Actuarial Science, Economics, Finance, Mathematics, or Statistics (Ph.D. preferred) – emphasis on probability theory is preferred
  • Experience in analytics and/or quantitative areas within the financial services industry is a plus (not required)
  • Experience (academic or professional) in the development and/or documentation of a large scale modeling effort is a plus
  • Financial Risk Management (FRM) industry certifications a plus, in particular, actuarial modeling certifications
11

Associate Director of Statistical Programming Resume Examples & Samples

  • Responsible for leading and directing the statistical programming strategy for multiple clinical projects across multiple therapeutic areas through own effort and those of their staff
  • Provide training and performance management for staff. Assist management in resource estimation and resource management
  • Responsible for compliance with applicable Corporate and Divisional Policies and procedures
12

Associate Director, Statistical Programming Resume Examples & Samples

  • Assist the B&P Standards Leader in defining, maintaining and/or improving strategies for the implementation of the global data and output standards in the department based on industry standards and regulatory requirements
  • Serve as departmental ADaM subject matter expert
  • Provide support on data and submission standards to project teams to ensure high quality and timely eSub deliverables that meet industry standards and regulatory requirements; particularly with regard to SDTMIG and ADaMIG assumptions, statistical programming conventions, and CTD-CRT preparation (Define.xml development, , FDA submission expectations, use of Pinnacle 21, and SDTM/ADaM compliance rule violation resolution)
  • Reinforce standards implementation within B&P through conducting trainings and workshops, and providing Q&A to project teams; support the project teams, including their work with external partners and/or venders, to ensure submission readiness
  • Develop, evaluate, and validate SAS macros and template programs related to the creation and validation of standard submission datasets and outputs
  • Support the identification, review, evaluation and implementation of new technologies related to clinical data standards
  • Lead or participate in data standards process improvement working groups
  • Participate in cross-entity end-to-end standards governance activities
  • A candidate with a Bachelor of Science degree or equivalent in a relevant scientific discipline and 12+ years of experience preferably in statistical programming in the pharmaceutical industry
  • A candidate with a Master of Science degree or equivalent in a relevant scientific discipline and 10+ years of experience preferably in statistical programming in the pharmaceutical industry
  • In-depth knowledge in industry data standards and regulatory data submission requirements, with a focus on electronic submission (eSub) data package
  • Proven ability to work collaboratively on interdisciplinary teams; strong interpersonal skills that demonstrate initiative and motivation; proven ability to solve problems; excellent verbal and written communication skills in a global environment
  • Strong skills in project management and team leadership. Ability to effectively organize and manage multiple assignments, from project start-up through finalization
  • Demonstrated experience in the development and implementation of standardization methodology within at least one therapeutic area in pharmaceutical clinical development
  • Experience (direct or advisory) with the preparation of the full package (SDTM and ADaM) eSub deliverables (e.g., tabulation and analysis datasets, define.xml, annotated CRF, SDRG, ADRG, etc.) in compliance with current regulatory standards guidance and involvement in submission planning
  • Experience in participating in end-to-end global standardization initiatives
  • Experience in participating in industry-wide clinical data standards activities
  • SAS programming experience with focus on programming process optimization
  • Experience with a metadata repository tool a plus
13

Associate Director, Statistical Programming Resume Examples & Samples

  • Serve, as necessary, as a Lead Programmer and manage the statistical programming efforts. This may include additional responsibilities including, but not limited to
  • 7+ years statistical programming experience in the CRO or Pharmaceutical Industry
  • 2-5 years people and project management experience in the CRO or Pharmaceutical Industry
  • Experience with CDISC SDTM and ADaM models and transforming raw data into those standards
  • Strong people management skills and supervisory skills gained from direct line management or supervisory experience. Proven abilities to lead and manage cross-functional projects, and people, from concept to completion
  • Strong verbal and written communication skills - ability to clearly and effectively present information
  • An excellent understanding of the roles and responsibilities of all related disciplines, in particular Biostatistics, Clinical Data Management, and Pharmacovigilance
  • Advanced knowledge of SAS/Base, SAS/Macro, SAS/STAT, SAS/Graph, and SAS/SQL in a windows environment with a demonstrated mastery of SAS/STAT procedures
  • Extensive experience and proven skills in the use of SAS within a Statistical Programming environment to develop and validate analysis datasets, tables, listings, and figures/graphs
  • Knowledge of clinical database design, specifically electronic data capture using Inform, Medidata, and Oracle
  • Advanced experience with
14

Associate Director, Statistical Programming Resume Examples & Samples

  • Lead Statistical Programmer on multiple complex projects or products in the Statistical Programming function, including NDA/BLA and other submissions to regulatory agencies
  • Lead, manage, coach, develop, and support Statistical Programmers within the Biostatistics Department
  • Author or provide input to key study-related documents produced by other functions (e.g. Statistical Programming Plan, SAP, CRFs, Data Management Plan, etc.)
  • Ensure the quality of Statistical Programming deliverables, including oversight of CRO biostatistics deliverables
  • Participate and/or lead in the development and implementation of SAS programming standards, SOPs and work instructions, including program validation and documentation
  • Ensure that the filing of study documentation is maintained to the standard required according to processes and is acceptable for audit
  • Participate in vendor qualification/selection and monitor vendor performance
  • Perform/assess time and resource estimates for project planning, managing timelines for studies/projects
  • Thorough knowledge of statistics and the drug development process
  • Understanding of SAS programming concepts and techniques in the pharmaceutical industry and ability to correct limitations in strategy proactively
  • Ability to manage multiple complex projects and assess resource needs
  • Extensive knowledge and implementation experience with CDISC standards
  • Excellent verbal and written communication within the Biostatistics group and across other functional areas
  • Excellent SAS Programming skills, and the ability and willingness to work hands on (study level programming support) if necessary
  • Bachelor or Master's Degree in Statistics, Mathematics, or related fields; A Master’s degree is preferred
  • 12+ years of statistical programming experience in the Pharmaceutical/Biotech Industry or CRO with 8+ years of supervisory experience
15

Associate Director, Statistical Programming Resume Examples & Samples

  • Lead one or more programming projects following company standards, processes, tools and applications. Independently coordinate and oversee the preparation, execution, reporting and documentation of project analysis programming, proactively identifying issues and recommending solutions. Provide project management and technical guidance to ensure operational and technical excellence. Collaborate with statisticians and programmers to define and implement analysis requirements and electronic data submission strategies. Provide programming support for the development and QC of analysis datasets and outputs for individual study as well as integrated analyses
  • Ensure high quality and timely statistical programming deliverables which meet BU/TSU/DPU expectations and regulatory requirements
  • Mentor junior level staff in programming practices, implementation of standards and project management
  • Foster team building and a collaborative work environment. Ensure consistency and efficiency in programming practices
  • Act as programming representative in a multidisciplinary study team to ensure timely and quality support for analysis and reporting of clinical trials up to regulatory approval, product launch and annual reports
  • Ensure project milestones are met to facilitate decision-making and address business needs
  • Develop data models, programming standards and codes, and training end users in the use of project standards to support programming deliverables that follow regulatory submission requirements
  • Develop programming code according to standards to reinforce standardization and improve programming efficiency
  • Maintain knowledge of new technologies, industry standards, regulatory requirements, and CSO guidelines and SOPs. Implement the quality control procedures that are operationally optimized and in compliance with regulatory requirements
  • Ensure daily programming practices meet industry standards and are consistent with internal SOP
  • Support department initiatives and task forces. Lead/participate in departmental or cross-functional working groups and process improvement activities
  • Continuous improvement of best programming practices and technologies
  • Assist resource assessments based on in-depth project knowledge, milestones and deliverables. Implement global resourcing strategy with regard to the use of off-shore operations, outsourcing and insourcing. Effectively interact with external programming resources, including contributing to development and/or review of contract specifications and feedback on performance
  • Ensure optimal use of internal and external resources
  • A candidate with a Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science or related field, preferred. A candidate with a Master degree and 8+ years of programming experience preferably in processing clinical trial data in the pharmaceutical industry. A candidate with a Bachelor degree and 10+ years of programming experience preferably in processing clinical trial data in the pharmaceutical industry
  • Advanced SAS programming skills in a clinical data environment with expertise in at least one, preferably multiple, therapeutic areas
  • Thorough understanding of relational database structures and their correlation to submission ready database structures. Knowledge of CDISC data structure requirements
  • Experience in development and implementation of standard methodology
  • Proven ability to work collaboratively on interdisciplinary teams. Strong interpersonal skills that demonstrate initiative and motivation. Proven ability to solve complex problems. Excellent verbal and written communication skills in a global environment
  • Strong skills in project management requiring no supervision. Ability to effectively organize and manage multiple assignments with challenging timelines, from project start-up through submission
  • Knowledge of regulatory requirements concerning electronic submission standards and experience in delivering one or more submissions to regulatory authorities globally
  • Knowledge of pharmaceutical clinical development in one or multiple therapeutic areas (i.e. therapeutic area endpoints, understanding of statistical concepts, techniques and clinical trial principles) and ability to lead regulatory submissions
  • Ability to mentor junior staff in programming techniques, project management and communication
  • Ability to project and embody company values in day to day operations
  • Experience with other operating systems and packages such as UNIX, MS Office
  • Experience with other Statistical and Graphics software packages such as SPLUS, JMP
  • Experience with other programming languages such as C+, JAVA
  • Experience with Clintrials and/or Oracle Clinical
16

Associate Statistical Modeler Resume Examples & Samples

  • Develop scoring models and statistical analysis
  • Design and build predictive attributes
  • Build statistical models and complete various analytics projects based on a variety of applications including risk, fraud, collections in insurance, credit, telecom, marketing, collections, and government. These projects will support internal development projects as well as client sponsored projects
  • Provide technical support and be a resource to internal and external modellers
  • Summarise and communicate conclusions and solutions to analytic and non-analytic stakeholders
  • Investigate and develop new innovative statistical techniques
  • Various other ad hoc projects using techniques mentioned above
  • Strong interest in applied modeling and analytics
  • Basic understanding of statistical methods applied to data analysis
  • User of either R, Python, SPSS, SAS, MySQL or equivalent analytic software
  • An understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques
  • Basic knowledge of managing, manipulating and transforming data from a variety of sources
  • Experience with large datasets is an advantage
17

Associate Statistical Modeler Resume Examples & Samples

  • Assemble, merge and parse large amounts of data to detect meaningful trends and patterns
  • Explore opportunities to enhance existing content or evaluate new data sources to improve product solutions
  • Develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production code
  • Consult with internal and external clients regarding score calculations, analytic output, and statistical techniques
  • Interpret, document and successfully communicate analytic work and/or results to stakeholders, including those in non-analytic roles
  • Conduct analysis and produce reports in support of both existing and new product development and/or customer sales
  • Understand and execute analytic plans with the appropriate statistical or modeling technique
  • Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions
  • Bachelor’s Degree in statistics, data science, mathematics or quantitative methods (or equivalent years’ experience)
  • 0 – 3 years’ experience building predictive models or conducting data analysis using R, SAS or similar software package
  • Knowledge of statistical analysis methodologies
  • Experience with R, SAS or similar software packages
  • Experience with data manipulation techniques
  • High degree of creative, analytical and problem solving skills
  • Ability to work effectively both independently and collaboratively
  • Willingness to adapt to new techniques and an innovative attitude towards finding solutions
  • Fluency with presentation and document programs such as PowerPoint, Word, Excel, R Markdown, or Shiny
18

Associate Statistical Modeler Resume Examples & Samples

  • Responsible for model development, scoring and selection
  • Transformation of data from a variety of sources and formats to analytically viable “Big Data”
  • Producing custom statistical analysis with actionable insights to help generate customer value and enhance the Reed Exhibitions customer experience
  • Identify likely attrition targets and potential products, services that will drive quality attendees to exhibiting customers
  • Perform advanced multivariate analyses including logistic/linear regression, segmentation analysis, discriminate analysis, cluster analysis and customer profiling; special focus on retention and next-best/cross-sell products
  • Present results and make actionable recommendations in a clear and compelling way
  • Bachelor’s degree (Masters preferred) in mathematics, statistics, economics, or similar quantitative field
  • One to 2 years of related work experience in building statistical models and conducting advanced data analysis with demonstrated improvement of business outcomes as a result of your work
  • One to 2 years of experience programming and statistical model development
  • Conducted and applied statistical methodologies including linear regression, logistic regression, factor analysis, ANOVA/ANCOVA, CHAID/CART, cluster analysis
19

Associate Director, Statistical Programming Resume Examples & Samples

  • Co-ordinate activities of all programmers assigned to the project(s) internally and externally (FSP, CRO), assess resources, negotiate their priority assignments on the project(s) and act as project manager for statistical programming deliverables
  • Provides authoritative technical and professional recommendations as representative of the statistical programming function at project level
  • Build and maintain effective working relationship with cross-functional teams incl. Biostatistics and Data Management counterparts, able to summarize and discuss status of deliverables and critical programming aspects (timelines, scope, resource plan) as member of the International Clinical Team (or equivalent) and with the Unit Head in Statistical Programming
  • Comply with company, department and CDISC standards and processes, ensuring statistical programming innovations and foster statistical programming solutions, ensure their efficient implementations and knowledge sharing within and outside the project(s)
  • Accountable for timely and quality development and validation of all statistical programming components on assigned project(s). Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results
  • If assigned to cross-project aligned group (e.g. Standards), be responsible for the end-to-end development of large/complex global project with high business impact and/or collaboration with GenMeds/NIBR on standardization efforts or technical system enhancements. Manage a focus area including global coordinating activities for people involved in the project(s)
  • Represent Statistical Programming at audits and in Health Authority (HA) meetings for assigned project(s), or on technical programming aspects in external conferences or groups (e.g. CDISC)
  • Maintain up-to-date advanced knowledge of programming software (e.g. SAS) as well as CDISC requirements (SDTM, ADaM, eCTD, Define.xml), attend functional meetings and trainings
  • Act as subject matter expert (SME) or lead process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures
  • Recruit talent, coach and develop statistical programmers
  • Expert SAS experience and proven skills in the use of SAS within a Statistical Programming environment to develop and validate deliverables, proven experience in development of advanced MACROs
  • Expert experience in contributing to statistical analysis plans and/or constructing technical programming specifications
  • Advanced knowledge of CDISC data structures as well as a solid understanding of the development and use of standard programs
  • Advanced understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, ICH) and clinical study practices, procedures and methodologies
  • Proven communications and negotiation skills, ability to work well with others globally and influence
  • If assigned to cross-project aligned group, proven ability to effectively act as statisticial programming representative on standardization efforts, software/technical enhancements and/or proven ability to participate in external Pharma groups on programming related matters (e.g. CDISC)
  • 2+ years experience as Senior Principal Programmer for several studies, a large indication or project-level activities, preferably in Oncology, including coordination of large team of internal or external programmers
  • Ideally 8+ years industry experience in programming/ statistical role
20

Associate Statistical Modeler Resume Examples & Samples

  • RX primarily uses SAS but fluency in R/Python/other statistical packages will be strongly considered; SQL experience preferred
  • Fluency with Microsoft Office suite
  • Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly to senior business leaders
  • Self-motivated, independent with strong project management skills, quick to understand new data and industry with strong attention to detail. Must also demonstrate ability to deliver projects in a timely manner in coordination with dovetailing company initiatives
21

Statistical Associate Resume Examples & Samples

  • Analyze and summarize data form multiple data sources (e.g., Food & Beverage Data Warehouse, D3, SAP, Longview)
  • Daily, Weekly, and Quarterly system audits (e.g., t-log data, Guest count reconciliation, RTP exception clearing)
  • Support Domestic Cost of Sales Forecast by completing cost pressure reporting, kitchen variance reporting, journal entries, and assisting with variance explanations and research
  • Creating reporting and financial models
  • Ability to partner with multiple business areas
  • Ability to work flexibly and meet deadlines
  • Experience with systems and tools including SAP, Longview, Business Objects, MS Office (with a focus on Excel), MS Access, and Point of Sale
  • Finance, Food & Beverage or related experience
  • 1-2 Years of applicable experience
  • Bachelors Degree in Finance, Accounting or Equivalent
22

Associate Director, Statistical Programming Resume Examples & Samples

  • Lead statistical programming activities as Program Programmer for a full development project or groups of projects in Clinical Pharmacology (CP)/Translational Clinical Oncology (TCO)/Global Medical Affairs (GMA), develop statistical programming strategy and scientific documentation for the project(s) together with the Biostatistician(s). If assigned to cross-project aligned group (e.g. Standards), manage large/complex global project that has high business impact, or manage a focus area
  • Manager of all internal statistical programmers assigned to the project(s). Provides performance management, supervision and advice to these programmers on functional expertise and processes, responsible for their professional development/training. Build highly efficient team
  • Represent Statistical Programming at audits and in Health Authority (HA) meetings for assigned project(s), or on technical programming aspects in external conferences or groups (e.g. CDISC). 8. Recruit talent, coach and develop statistical programmers
  • Achieve project goals aligned with OBU strategy (e.g. GPT objectives)
  • Quality and timeliness of statistical programming deliverables and contributions as assessed by internal and external customers, including the Global Program Team, Program Statistician and the operational manager
  • No critical HA audit findings on assigned project(s) for statistical programming deliverables
  • Adequate representation of the Statistical Programming function as Program Programmer in the International Clinical Team and BDM Project Team – effectiveness of communication and team behaviors as assessed by the team members
  • Ability and effectiveness as a programming representative on major non-clinical initiatives
  • Ability and effectiveness in mentoring/coaching and managing programmers on the assigned project(s)
  • If assigned to cross-project aligned group, proven ability to effectively act as statisticial programming representative on standardization efforts, software/technical enhancements and/or proven ability to participate in external Pharma groups on programming related mattersrelevant to Statistical Programming (e.g. GCP, ICH) and clinical study practices, procedures and methodologies. 5. Proven communications and negotiation skills, ability to work well with others globally and influence. 6. If assigned to cross-project aligned group, proven ability to effectively act as statisticial programming representative on standardization efforts, software/technical enhancements and/or proven ability to participate in external Pharma groups on programming related matters
23

Associate Statistical Analyst Resume Examples & Samples

  • You have an excellent knowledge blend of mathematics, probability and statistics experience
  • You have strong understanding of data analysis and know how to apply this knowledge in solving business problems
  • You have a strong background in modeling and experience working with large data sets
  • You understand how to analyze statistical data and tell a story about this data to internal and external parties. Of course, you have proven examples of this
  • You’ve got a confident, positive attitude and recognize the value of the other members on your team
  • Degree in Mathematics, Statistics, or other Quantitative Analytics required, masters strongly preferred
  • Bachelors plus 1+ years of working in statistical modeling or statistical problem solving environment or masters and relevant modeling experience gained in university environment
  • Strong understanding of statistical tools / model building and their application to solve business initiatives
  • Excellent communication skills, both verbal and written
  • Statistical programming experience in R strongly desired. Experience with Python, Matlab, or other statistical packages also a plus
  • Deep enough skill to write queries extract data and pull together concise, detailed reports. Experience with SQL also a strong plus
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Associate Director, Statistical Programming Resume Examples & Samples

  • SAS Programming: Demonstrated extensive understanding of SAS programming concepts and techniques appropriate to the
  • DATABASE ACTIVITIES:Case report forms and database definitions: Provides strategic guidance on the development of CRFs and database designs. Provides
  • High degree of technical competence and communication ability, both oral and written. Highly competent in SAS programming and Macro
25

Statistical Associate Resume Examples & Samples

  • Works with researchers and senior statisticians to provide statistical support for research projects. Assists researchers with the design of experiments, construction of database, data management and analysis of data
  • Ensures that databases comply with HIPAA regulations
  • Assists with preparation of grants and research protocols
  • Assists with preparation of manuscripts and presentations
  • Attends regular research meetings
  • Maintains and increases statistical skills through educational opportunities including seminars, lectures, courses, and reading of current literature
  • Actively participates in local research seminars and lectures
  • Knowledge of, and experience with, application of statistical methods for analysis of biomedical data and ability to learn and apply unfamiliar methodologies
  • Programming capabilities in SAS and R and ability to learn new statistical packages and computing environments
  • Ability to program using large healthcare data sets
  • Ability to work independently as well as in a collaborative, team-oriented environment
  • Excellent oral and written communication skills in English, particularly the ability to communicate technical information to non-technical colleagues
  • Ability to work on multiple projects in the same time frame, including both long-term and short-term projects
  • Ability to self-monitor progress on long-term projects and complete assigned tasks independently
  • Flexibility of schedule and ability to change priorities quickly in response to deadlines
26

Statistical Associate Resume Examples & Samples

  • This position will be responsible for managing the storage and analysis of a wide variety of Transportation data
  • The role will be responsible for creating and maintaining operational and maintenance metrics and reporting them in a way that provides clear and useful guidance to Operations partners
  • This role will provide support in the form of data analysis and reporting for special requests and projects occurring within Transportation
  • This position requires to develop ad-hoc reporting and complete their own special requests or projects, including but not limited to: researching service gaps/breaks, design and analysis of service improvement tests, and discovery/analysis of trends within Transportation data
  • Demonstrated proficiency with Excel and PowerPoint
  • Demonstrated strong verbal and written communication skills
  • Ability to partner with Cast Members at all levels and work in a team environment
  • Strong self-motivation and willingness to ask questions
  • Demonstrated strong networking skills
  • Ability to balance multiple tasks and meet deadlines
  • Demonstrated proficiency with SAS and Business Objects
  • Experience working with large data sets
  • Knowledge of statistical analysis techniques
  • Familiarity with Transportation Operations
  • Bachelor's degree in Engineering, Math or related field or equivalent work experience
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Statistical Associate Resume Examples & Samples

  • Analyze and summarize data from multiple company sources
  • Performing general cashier duties including cash collection
  • Performing internal control functions
  • Liaison with various departments at Walt Disney World
  • Management and operational reporting of operating expense, reconciliation of account balances, and assistance to tax department
  • Preparation of journal entries
  • Variance research and explanations
  • Communicate with and prepare presentations for Resort Manager and Beach Resorts’ General Manager
  • Other special financial projects
  • Provide support for the Senior Financial Analyst
  • Ability to partner with multiple leaders and departments
  • Working knowledge of accounting and finance principles
  • Experience with systems and tools including SAP, Longview, Business Objects, MS Office (with a focus on Excel)
  • Minimum of 3 years of applicable experience