Senior Scientist, Stat. Programming, Late-Stage Development (Hybrid)

Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)

Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise

Designs and develops complex programming algorithms

Ability to comprehend analysis plans which may describe methodology to be programmed; an understanding of statistical terminology and concepts

Familiarity with clinical data management concepts

Experience in CDISC and ADaM standards

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our Company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

This position supports statistical programming activities for late-stage drug/vaccine clinical development projects.

This may include leadership of one or more projects. Accountability predominantly includes the development and execution of statistical analysis and reporting deliverables (e.g.

safety and efficacy analysis datasets, tables, listings, figures), the span of which range from individual clinical trials to world-wide regulatory application submissions and post marketing support.

The incumbent is responsible for the design and maintenance of statistical datasets that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation.The position is a key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high quality deliverables.