Principal Scientist Quantitative Systems Pharmacology
Sanofi
September 02, 2026
On-site
Morristown, NJ
$122,250 - $176,583.33 USD yearly
Clinical Research and Development
Main Responsibilities:
- Develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery and development.
- Survey literature to identify critical physiological processes and determine mechanistic elements, data, parameters, and assumptions.
- Identify and analyze suitable internal preclinical and clinical data to inform modeling activities.
- Analyze simulation results and develop strategies to resolve model performance and accuracy issues.
- Maintain extensive documentation of model development and data analysis.
- Maintain quantitative systems pharmacology expertise through comprehensive education.
- Communicate modeling predictions to key stakeholders.
About You (Qualifications):
- PhD in systems pharmacology/biology, computational biology, biomedical engineering, or related field; at least 2 years postdoctoral experience in disease modeling/QSP (strong productivity via publications and presentations). Master’s with 4+ years relevant industry experience.
- Proficiency in mathematical modeling using differential equations.
- Extensive experience with computational tools including MATLAB, Julia, and R (MATLAB preferred).
Desirable Qualifications:
- Experience in drug discovery/development, especially in bioinformatics or pharmacometrics.
- Knowledge of Immunology.
Benefits (if explicitly stated):
- Wide range of health and wellbeing benefits, including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.
- Develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery and development.
- Survey literature to identify critical physiological processes and determine mechanistic elements, data, parameters, and assumptions.
- Identify and analyze suitable internal preclinical and clinical data to inform modeling activities.
- Analyze simulation results and develop strategies to resolve model performance and accuracy issues.
- Maintain extensive documentation of model development and data analysis.
- Maintain quantitative systems pharmacology expertise through comprehensive education.
- Communicate modeling predictions to key stakeholders.
About You (Qualifications):
- PhD in systems pharmacology/biology, computational biology, biomedical engineering, or related field; at least 2 years postdoctoral experience in disease modeling/QSP (strong productivity via publications and presentations). Master’s with 4+ years relevant industry experience.
- Proficiency in mathematical modeling using differential equations.
- Extensive experience with computational tools including MATLAB, Julia, and R (MATLAB preferred).
Desirable Qualifications:
- Experience in drug discovery/development, especially in bioinformatics or pharmacometrics.
- Knowledge of Immunology.
Benefits (if explicitly stated):
- Wide range of health and wellbeing benefits, including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.