Senior Associate Data Scientist, Pharmacometrics

Senior Associate Scientist, Pharmacometrics

Position Summary

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

#LI-AB1 #LI-Hybrid

U.S. Pay Range

$91,000.00 - $123,000.00

The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity).

Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together.

Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website:

AboutAlnylam

We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another.

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.

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