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# QSP Scientist

- **Company:** Sanofi
- **Location:** Cambridge, MA, United States
- **Salary:** $100,500.0 - $145,167.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Data Analysis, Clinical Data Repository, Computational Biology, Computer Simulation, Computer Programming, MATLAB, Machine Learning
- **Published:** October 23, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3472113563&tx=KL2727FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## 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 1 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's degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting., * Track record of productivity in mechanistic or QSP modeling as evident with publications.
 * Machine learning experience.
 * Proficiency in mathematical modeling using differential equations and programming as demonstrated by hands-on experience in a variety of computational tools such as MATLAB, Julia and R (MATLAB preferred).
 * Knowledge of Immuno-oncology or Neuroscience.
 * Experience in drug discovery/development a plus, especially in quantitative aspects such as bioinformatics or 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

* Develop computational systems models to enhance the understanding of disease mechanisms and to guide therapeutic intervention strategies.
 * Identify and leverage relevant preclinical and clinical data to incorporate into models.
 * Communicate modeling predictions to key stakeholders.

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., * Function as part of a team to develop and implement multiscale computational models of complex diseases based on detailed biological mechanistic knowledge.

 * Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
 * Analyze internal preclinical and clinical data to inform modeling activities.
 * Contribute to the computational infrastructure of the TDM group.
 * Assess the functionality, efficiency and validity of new models.
 * Analyze simulation results and identify suitable strategies to resolve issues pertaining to model performance and accuracy.
 * Communicate technical material to internal and external audiences.
 * Maintain extensive documentation of model development process, and data analysis.
 * Maintain quantitative systems pharmacology expertise through comprehensive education including attendance and participation in conferences, scientific workshops etc.