Summer Intern 2026 - Quantitative Systems Pharmacology

Job Title: Summer Intern 2026 - Quantitative Systems Pharmacology

Location: Cambridge, MA / Morristown, NJ

About the job

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

Join Sanofi’s Disease Modeling group for a 12-week summer internship focused on Quantitative Systems Pharmacology (QSP). As part of a collaborative modeling team, you will contribute to the development of mechanistic models that represent key biological processes of the disease pathophysiology and drug response. This internship offers hands-on experience in model development, data integration, and scientific communication.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• Develop and calibrate QSP models using pre-clinical and clinical data.

• Identify and integrate data on biological pathways and mechanisms of action.

• Present findings to quantitative scientists and cross-functional stakeholders.

• Collaborate in a multidisciplinary, team-oriented environment.
   

Program Highlights:

• Full-time, paid internship (40 hours/week).

• Dedicated mentorship from experienced professionals.

• Opportunities to present work internally.
   

About You

Basic Qualifications:

• Currently enrolled and pursuing a master's degree or PhD in pharmacology, pharmacometrics, systems biology, applied mathematics, engineering, or a related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028

• Experience with QSP, PKPD, or systems biology modeling (e.g., differential equations)

• Experience with MATLAB

• Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

• Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship 

Preferred Qualifications:

• Experience with Julia or R is a plus

• Strong communication, collaboration, and interpersonal skills

• Highly reliable, detail-oriented, and deadline-driven

• Enthusiastic and curious, with a passion for learning in a multidisciplinary setting
   

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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.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; 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.