Oversee the work of direct reports to ensure on-time, on-target and within-budget results.
Maintain communication with data management and clinical operations.
Exercise independent judgment in developing methods, techniques and evaluation criteria.
Design, develop, evaluate and modify computer programs to analyze and evaluate clinical data.
Oversee and manage workflow for study-specific and ad-hoc clinical data listings, summary tables and figures.
Determine methods and procedures on new assignments.
Perform data analysis primarily using SAS for summary and interpretation of clinical trial data.
Manage creation of CDISC SDTM and ADaM files, SAS export files, and Define.xml for electronic submission.
Manage data analysis and statistical analysis; generate safety and efficacy tables, listings and graphs using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL and SAS/ODS.
Review Data Management Plan, Data validation plan and edit check specifications.
Interact with statisticians and clinical team; perform ad hoc analysis and generate outputs per requirements.
Implement and contribute to statistical analysis plans; provide expertise related to protocol development, CRF design and data collection.
Identify and initiate resolution of data inconsistencies and quality issues.
Manage development of SAS coding and table templates; create tools to improve programming efficiency and quality.
Establish monitoring of data transfers for ongoing trials to identify study conduct or data quality issues.
Adhere to company core values, policies, procedures, business ethics and safety SOPs; perform miscellaneous duties as assigned.
Requirements
MS or higher degree in Statistics, Math or Scientific Discipline.
5-8 years Pharmaceutical/Biotech programming experience.
Strong SAS programming and Statistical background; experience with SAS Base, SAS/Macros, SAS/Graph and SAS/Stat.
Prior management/supervisory experience.
Ability to use professional concepts to achieve objectives in creative and effective ways.
Experience in the analysis of complex Oncology clinical trial data.
Experience managing multiple projects.
Solid knowledge of SAS Programming language.
Experience creating CDISC SDTM and ADaM files, SAS export files, and Define.xml for electronic submission.
Experience generating safety and efficacy tables, listings and graphs using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL and SAS/ODS.
Experience implementing and contributing to statistical analysis plans.
Ability to review Data Management Plan, Data validation plan and edit check specifications.