QSP Modeler- Scientist – Quantitative Systems Pharmacology

Sanofi•Cambridge, MA

2d•Onsite

About The Position

We are seeking a motivated Modeling Scientist to join our Quantitative Systems Pharmacology (QSP) team. This entry-level role focuses on supporting model development efforts through data integration, literature research, and QSP model implementation. Ideal for candidates looking to grow their expertise in mechanistic modeling and systems pharmacology. Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

Requirements

PhD or MS in systems pharmacology, biomedical engineering, computational biology, Mathematical Modeling, Computational Mathematics or related fields.
Minimum of 1 year of relevant industry experience and/or academic experience with QSP methodologies.
Experience with ordinary differential equation (ODE)-models.
Hands-on experience with modeling tools (MATLAB preferred; Julia, R, C/C++ a plus).

Nice To Haves

Exposure to drug development or pharmacometrics is a plus.
Strong communication and collaboration skills.
Demonstrated interest in continuous learning and professional development.

Responsibilities

Collaborate with senior scientists to build and refine multiscale computational models of disease.
Conduct literature reviews to extract biological mechanisms, parameters, and assumptions.
Integrate preclinical and clinical data into models under guidance.
Apply data science techniques to support model development.
Assist in simulation analysis and troubleshooting model performance.
Contribute to model documentation and internal infrastructure.
Present findings to internal teams with support from senior staff.
Stay current with QSP methodologies through training and conferences.