Pharmacokinetic; PK Modelling -Summer/Fall Co-Op
Listed on 2026-01-12
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Software Development
Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Job Title: Pharmacokinetic (PK) Modelling
-Summer/Fall 2026 Co-Op
Location: Morristown, NJ
About the JobAre 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.
The Quantitative Pharmacology department is an integrated part of the Translational Medicine Unit organization within Sanofi. We routinely use model-based drug development approaches to enable optimal decision-making to accelerate programs across the pipeline from preclinical to late-stage development. We are currently seeking a co-op/intern for 2026.
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- Learn about clinical pharmacology and pharmacometrics, including principles of model-based drug development in pharmaceutical R&D settings.
- Collaborate with our staff to develop and apply innovative pharmacokinetic (PK) modelling methodologies specifically focusing on physiologically based pharmacokinetic (PBPK) analysis contributing to the development and implementation of new capabilities, standards, and approaches.
- Participate in various activities, including medical literature review, development of PBPK models to characterize PK in special populations and to predict drug-drug interactions, using state-of-the-art quantitative methodologies such as artificial intelligence/machine learning (AI/ML) within the modeling and simulation framework.
- Currently enrolled and pursuing a master’s degree or PhD in pharmacokinetics, drug metabolism, pharmacology, mathematics, biomedical engineering or relevant discipline at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028.
- Must be able to relocate to the office location and work 40 hrs/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.
- Experience in PBPK modelling or AI/ML, and familiar with software such as SIMCYP, PK-Sim, python, R, and Phoenix, are highly desirable.
- Ability to work independently as well as on a team.
- 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.
- Exposure to cutting-edge technologies and research methodologies.
- Networking opportunities within Sanofi and the broader biotech community.
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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