Senior Associate Data Scientist, Pharmacometrics
Listed on 2026-07-01
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Engineering
Senior Associate Data 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
U.S. Pay Range $91,000.00 - $
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).
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