Senior Associate Data Scientist, Pharmacometrics

Senior Associate Scientist, Pharmacometrics We are seeking a highly skilled Senior Associate Scientist, Pharmacometrics to work alongside our Pharmacometrics team to optimize, automate, and scale data workflows supporting drug development. This role is ideal for a strong programmer and problem-solver who enjoys transforming complex, manual analytical processes into efficient, reproducible, and well-engineered systems. While prior hands‑on experience with PK/PD modeling is not required, the successful candidate will bring a strong technical foundation and a willingness to learn pharmacometrics concepts through close collaboration with domain experts. Summary of Key Responsibilities Data Workflow Optimization & Tool Development Streamline data cleaning, transformation, and QC processes to improve reproducibility, traceability, and robustness of analytical workflows Design, develop, and maintain reusable, well‑documented code, libraries, and utilities in R and/or Python to support scientific analyses Create interactive tools or dashboards to support internal users (e.g., Shiny, Dash) Apply software engineering best practices (version control, testing, modular design) Support the use and maintenance of the secure working environment Communicate user needs with the vendor Collaborate with IT and the vendor to support change controls Pharmacometrics & PK/PD Enablement (with Training Support) Work closely with pharmacometricians to support PK/PD and exposure‑response analyses Learn foundational PK/PD and modeling concepts on the job Translate scientific requirements into robust computational solutions Enable faster iteration and insight generation for modeling and simulation activities Data & Collaboration Partner with Clinical Pharmacology, Statistics, and related quantitative groups Support data standards, organization, and metadata practices Communicate technical solutions clearly to both technical and non‑technical colleagues Requirements/Qualifications MS in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field Strong programming background in R and/or Python Demonstrated experience optimizing, automating, or scaling data analysis workflows Experience working with complex scientific or real‑world datasets Solid understanding of data structures, algorithms, and analytical best practices Exposure to regulated environments and audit‑ready workflows; prior exposure to pharmacometrics, biomedical data, or clinical data would be a plus. Strong problem‑solving skills and curiosity Pay Range $91,000.00 – $123,000.00 EEO Statement At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E‑Verify Employer. #J-18808-Ljbffr Alnylam