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Sr. Scientist, Statistical Programming Hybrid - Merck
Software Engineer
Senior Scientist leading statistical programming for early‑phase clinical studies, delivering high‑quality SAS/R/Python code and analytical solutions to support drug and vaccine development.
About the role
Key Responsibilities
- Develop, validate, and maintain statistical programs (SAS, R, Python) for analysis of early‑phase clinical trial data.
- Collaborate with biostatisticians, data managers, and cross‑functional teams to translate study designs into executable analysis plans.
- Generate tables, listings, and figures (TLFs) and ensure compliance with regulatory standards and internal quality guidelines.
- Perform data manipulation, cleaning, and integration from multiple sources to support comprehensive statistical analyses.
- Provide technical mentorship to junior programmers and contribute to best‑practice documentation and process improvement.
Requirements
- Advanced degree (PhD or MS) in Biostatistics, Statistics, Computer Science, or a related quantitative field.
- 5+ years of hands‑on experience in statistical programming for clinical trials, primarily using SAS and R; Python experience is a plus.
- Strong knowledge of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
- Proven ability to work in cross‑functional, matrixed environments and communicate complex statistical concepts clearly.
- Experience with version control systems (e.g., Git) and reproducible research workflows.