Scientist, Quantitative Systems Pharmacology
Sanofi
August 20, 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 using 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 address model performance and accuracy.
- Maintain extensive documentation of model development and data analysis.
- Maintain quantitative systems pharmacology expertise through comprehensive education.
- Communicate modeling predictions to key stakeholders.
Qualifications:
- PhD in systems pharmacology/biology, computational biology, biomedical engineering, or related field, with at least 2 years of postdoctoral experience in disease modeling/QSP (evidenced by publications and presentations). OR Master’s degree with 4+ years of relevant industry experience.
- Proficiency in mathematical modeling using differential equations.
- Extensive experience with computational tools such as MATLAB, Julia, and R (MATLAB preferred).
Desirable Qualifications:
- Experience in drug discovery/development, especially in bioinformatics or pharmacometrics.
- Knowledge of immunology.
Benefits (if applicable):
- Health and wellbeing benefits, including at least 14 weeks’ gender-neutral parental leave.
Soft Skills:
- Excellent oral and written communication.
- Ability to quickly learn pathophysiology and immunology treatment approaches.
- Highly motivated, detail-oriented, independent, collaborative, and committed to on-the-job training.
- Develop and apply multiscale computational models of complex diseases using 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 address model performance and accuracy.
- Maintain extensive documentation of model development and data analysis.
- Maintain quantitative systems pharmacology expertise through comprehensive education.
- Communicate modeling predictions to key stakeholders.
Qualifications:
- PhD in systems pharmacology/biology, computational biology, biomedical engineering, or related field, with at least 2 years of postdoctoral experience in disease modeling/QSP (evidenced by publications and presentations). OR Master’s degree with 4+ years of relevant industry experience.
- Proficiency in mathematical modeling using differential equations.
- Extensive experience with computational tools such as MATLAB, Julia, and R (MATLAB preferred).
Desirable Qualifications:
- Experience in drug discovery/development, especially in bioinformatics or pharmacometrics.
- Knowledge of immunology.
Benefits (if applicable):
- Health and wellbeing benefits, including at least 14 weeks’ gender-neutral parental leave.
Soft Skills:
- Excellent oral and written communication.
- Ability to quickly learn pathophysiology and immunology treatment approaches.
- Highly motivated, detail-oriented, independent, collaborative, and committed to on-the-job training.