This position provides high quality statistical programming deliverables for global stakeholders in Early Development Statistics and PK/PD Modeling and Simulation spanning all client therapeutic areas except oncology.
The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan.
The senior programmer will be a key collaborator with statisticians, modelers, and colleagues in other related function areas.
Prepare compliant programming code for regulatory submissions including analysis/modeling datasets, tables, listings, figures and associated documentation
Ensure programmatic traceability from data source to analysis/modeling result
Support the development of programming standards to enable efficient and high-quality production of programming deliverables.
Requirements
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5 years SAS programming experience in a clinical trial environment
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3 years SAS programming experience in a clinical trial environment
Excellent communication (oral, written) skills, interpersonal skills and ability to negotiate and collaborate effectively
Effective knowledge and experience in developing analysis and reporting deliverables for research and development projects (data, analyses, tables, graphics, listings)
A project leader; completes tasks independently at project level
Programming expertise with clinical endpoint data (efficacy and safety) and pharmacokinetic data (raw concentration data, derived PK parameters)
Experience in CDISC SDTM and ADaM standards
Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH
Designs and develops complex programming algorithms
Ability to comprehend analysis plans which may describe methodology to be programmed; understanding of statistical terminology and concepts; Implements statistical methods not currently available through commercial software packages.