QSP Scientist

Job title:

Modeling Scientist

Location:

Cambridge, MAAbout the jobThe Translational Disease Modeling (TDM) group at Sanofi is seeking to hire a highly talented modeling scientist to support its portfolio in R&D. Modeling and simulation (M&S) plays an important role in drug development at Sanofi.  This position is for a modeling scientist, with emphasis on mechanistic modeling or Quantitative Systems Pharmacology (QSP) approaches.  The position will be based in Cambridge, MA.Position

Objectives:

Develop computational systems models to enhance the understanding of disease mechanisms and to guide therapeutic intervention strategies.

Identify and leverage relevant preclinical and clinical data to incorporate into models.

Communicate modeling predictions to key stakeholders.

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.

About Sanofi:

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world and are supported and enhanced through our diverse portfolio of medical device and diagnostic products. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

Function as part of a team to develop and implement multiscale computational models of complex diseases based on detailed biological mechanistic knowledge.

Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.

Analyze internal preclinical and clinical data to inform modeling activities.

Contribute to the computational infrastructure of the TDM group.

Assess the functionality, efficiency and validity of new models.

Analyze simulation results and identify suitable strategies to resolve issues pertaining to model performance and accuracy.

Communicate technical material to internal and external audiences.

Maintain extensive documentation of model development process, and data analysis.

Maintain quantitative systems pharmacology expertise through comprehensive education including attendance and participation in conferences, scientific workshops etc.

About you

Basic Qualifications:

PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field.

For candidates with PhD degrees:
Minimum 1 years of hands-on experience generating disease models, mechanistic/multiscale models or QSP models. Academic research experience, internships and post-doctoral fellows will be considered.

For candidates with Master's degrees:
Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting.

Preferred Qualifications:

Track record of productivity in mechanistic or QSP modeling as evident with publications.  Machine learning experience.

Proficiency in mathematical modeling using differential equations and programming as demonstrated by hands-on experience in a variety of computational tools such as MATLAB, Julia and R (MATLAB preferred).Knowledge of Immuno-oncology or Neuroscience.

Experience in drug discovery/development a plus, especially in quantitative aspects such as bioinformatics or pharmacometrics.

Why choose us?

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral…