Scientist, Quantitative Systems Pharmacology
About The Position
The Quantitative Systems Pharmacology (QSP) group of Sanofi is seeking to hire a highly talented modeling scientist to support its portfolio in early clinical development. The QSP group is part of Translational Informatics department within the Translational Medicine and Early Development organization of Sanofi. The individual will primarily be involved with hands-on quantitative systems pharmacology modeling activities, and he/she will be responsible to work with internal and external collaborators to ensure alignment with the strategic needs of the project team. The position will be based in Morristown, NJ. 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. 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. Together, we chase the miracles of science to improve people’s lives.
Requirements
- PhD in systems pharmacology/biology, computational biology, biomedical engineering, or a related field with a strong record of productivity demonstrated through publications and scientific presentations with at least 2 years of Postdoctoral experience in disease modeling/QSP.
- Master’s degree with 4+ years of relevant industry experience.
- Proficiency in mathematical modeling using differential equations.
- Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).
Nice To Haves
- Experience in drug discovery/development a plus, especially in bioinformatics or pharmacometrics.
- Knowledge of Immunology.
Responsibilities
- Function as part of a team to develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery & development.
- Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
- Identify and analyze suitable internal preclinical and clinical data to inform modeling activities.
- Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy.
- Maintain extensive documentation of model development process, and data analysis.
- Maintain quantitative systems pharmacology expertise through comprehensive education.
- Communicate modeling predictions to key stakeholders.
Benefits
- Thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.
- At least 14 weeks’ gender-neutral parental leave.
- Employee benefit programs.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees
