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# Principal Scientist, Quantitative Systems Pharmacology

- **Company:** Sanofi
- **Location:** Morristown, NJ, United States
- **Experience:** Experienced
- **Salary:** $122,250.0 - $176,583.0
- **Contract:** Internship / Graduate position
- **Skills:** Data Analysis, Clinical Data Repository, Computational Biology, Computer Simulation, MATLAB, Machine Learning
- **Published:** October 13, 2026
- **Apply:** https://dejobs.org/x/x/48FCD18ADDCC4E07B5299B67B2F4DB93/job/

## About the Role

* 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.

Preferred Qualification:

 * 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., Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

## Description

* 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
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 * Communicate modeling predictions to key stakeholders., * Make your work count by supporting a company that brings life-changing treatments to millions - and is committed to doing right by patients, communities, and the planet.
 * Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
 * Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.
 * Make an impact across borders and functions, collaborating with leaders to turn complex challenges into real-world solutions.
 * Advance your career through stretch roles, cross-functional moves, and development opportunities designed to match your ambition.
 * Thrive in inclusive, high-performing teams where every role matters and every voice helps shape what's next.