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.
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
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
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.
Exposure to cutting-edge technologies and research methodologies. Networking opportunities within Sanofi and the broader biotech community.
The salary range for this position is $45-$60 hourly. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through LINK.
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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