Sr. Scientist, Statistical Programming; Hybrid

Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our Research and Development division, quantitative scientists collaborate with subject‑matter experts to apply scientific methodologies and tools to support the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines. This role focuses on providing high‑quality statistical programming deliverables for Early Development Statistics and PK/PD Modeling and Simulation across all therapeutic areas except oncology.

• Gather and interpret user requirements for programming requests.
• Retrieve required data, transform it into analysis/modeling datasets.
• Develop tables, listings, and figures according to statistical/modeling analysis plans.
• Prepare compliant programming code for regulatory submissions including 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.
• Collaborate with statisticians, modelers, and colleagues in related function areas.

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5 years SAS/R programming experience in a clinical trial environment.
• or MS in the same fields plus 3 years SAS/R programming experience in a clinical trial environment.

• Excellent oral and written communication skills and the ability to negotiate and collaborate effectively.
• Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings).
• Project leadership – completes tasks independently at project level.

• Programming expertise with clinical endpoint data (efficacy and safety).
• Experience in CDISC SDTM and ADaM standards.
• Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH.
• Design and develop complex programming algorithms.
• Ability to comprehend analysis plans and implement statistical methods not available through commercial software.

• Programming expertise with pharmacokinetic data (raw concentration data, derived PK parameters).
• Familiarity with clinical pharmacology and pharmacokinetics concepts.
• Experience with at least one other software beyond SAS/R (e.g., Python, NONMEM).
• Knowledge of reporting processes (SOPs) and software development life‑cycle (SDLC).
• Experience using and contributing to departmental SAS macro development.
• Ability and interest to work across cultures and geographies.
• Experience completing statistical programming deliverables via global outsource partner staff.
• Active participation in professional societies.

Salary range: $–$, based on education, qualifications, experience, geographic location, and business needs. Eligible for annual bonus and long‑term incentive, if applicable.

Benefits include medical, dental, vision, health insurance, retirement benefits (401(k)), paid holidays, vacation, and compassionate and sick days.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.

Requisition : R401404. Job Posting End Date: 06/24/2026. Domestic relocation available. Visa sponsorship:
Yes. Travel requirement: 10%. Hybrid work arrangement. Valid driving license not required.