Senior Associate Data Scientist, Pharmacometrics

Alnylam PharmaceuticalsCambridge, MA
$91,000 - $123,000Hybrid

About The Position

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.

Requirements

  • 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
  • Strong problem-solving skills and curiosity

Nice To Haves

  • Prior exposure to pharmacometrics, biomedical data, or clinical data would be a plus.

Responsibilities

  • 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
  • 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
  • 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

Benefits

  • medical, dental, and vision coverage
  • life and disability insurance
  • a lifestyle reimbursement program
  • flexible spending and health savings accounts
  • a 401(k)with a generous company match
  • paid time off
  • wellness days
  • holidays
  • two company-wide recharge breaks
  • generous family resources and leave
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