QSP Modeler- Scientist – Quantitative Systems Pharmacology

Job Title: QSP Modeler- Scientist – Quantitative Systems Pharmacology

Location: Cambridge, MA

About The Job

We are seeking a motivated Modeling Scientist to join our Quantitative Systems Pharmacology (QSP) team. This entry-level role focuses on supporting model development efforts through data integration, literature research, and QSP model implementation. Ideal for candidates looking to grow their expertise in mechanistic modeling and systems pharmacology.

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.

Main Responsibilities

• Collaborate with senior scientists to build and refine multiscale computational models of disease.
• Conduct literature reviews to extract biological mechanisms, parameters, and assumptions.
• Integrate preclinical and clinical data into models under guidance.
• Apply data science techniques to support model development.
• Assist in simulation analysis and troubleshooting model performance.
• Contribute to model documentation and internal infrastructure.
• Present findings to internal teams with support from senior staff.
• Stay current with QSP methodologies through training and conferences.
  
  

About You

Basic Qualifications:

• PhD or MS in systems pharmacology, biomedical engineering, computational biology, Mathematical Modeling, Computational Mathematics or related fields.
• Minimum of 1 year of relevant industry experience and/or academic experience with QSP methodologies.
• Experience with ordinary differential equation (ODE)-models.
• Hands-on experience with modeling tools (MATLAB preferred; Julia, R, C/C a plus).
  
  

Preferred Qualifications

• Exposure to drug development or pharmacometrics is a plus.
• Strong communication and collaboration skills.
• Demonstrated interest in continuous learning and professional development.
  
  

Why Choose Us

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
• Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.
• Help improve the lives of millions of people globally by making drug development quicker and more effective.
• Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
  
  

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.