Principal Scientist, Quantitative Systems Pharmacology

Sanofi•Morristown, MA

2d•Onsite

About The Position

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping teams accelerate progress. Join our Quantitative Systems Pharmacology (QSP) group as a Principal Scientist and you'll support our R&D portfolio with mechanistic disease modeling. 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. Together, we chase the miracles of science to improve people’s lives.

Requirements

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 2 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 degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting.
Proficiency in mathematical modeling using differential equations.
Machine learning experience.
Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).
Excellent oral and written communication skills.
Ability to quickly learn pathophysiology in indications of interest.
Highly motivated, detail-oriented, and independent researcher.
Able to thrive in a collaborative, multi-disciplinary team environment.
Strong commitment to on-the-job-training.
Knowledge of Immuno-oncology or Neuroscience.
Record of increasing responsibility and independence, developing and applying QSP approaches.
Experience in drug discovery/development a plus, especially in pharmacometrics.

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 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 undefined
Communicate modeling predictions to key stakeholders.