Machine learning applied to Quantitative Pharmacology - Small molecules Fall 2026 Co-op

Company: Sanofi
Location: Cambridge
Posted on: March 20, 2026

Job Description:

Job Title: Machine learning applied to Quantitative Pharmacology - Small molecules Fall 2026 Co-op Location : Cambridge, MA About the Job Join the engine of Sanofis mission where deep immunoscience meets bold, AI-powered research. In R&D, youll drive breakthroughs that could turn the impossible into possible for millions. The Quantitative Pharmacology (QP) group in Sanofi is seeking a Machine learning (ML) co-op to be part of the implementation and development of ML models to enhance decision making across drug discovery and development. The scope of responsibility will involve aiding the group in the development of machine ML models to support drug prioritization and contributing to endtoend model development using structural characteristics to predict pharmacokinetic and pharmacology dynamics of small molecules relevant for early drug development decisions. In support of these activities, the successful incumbent should be able to analyze and interpret preclinical and clinical data and be part of the QP team that develops ML approaches to support critical decision making in drug research. The QP group supports multiple therapeutic areas and research platforms within the broader R&D organization. About Sanofi: Were an R&D-driven, AI-powered biopharma company committed to improving peoples 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 peoples lives. About You Basic Requirements: Currently enrolled in a PhD program in a STEM field (e.g. Engineering, Computer Science, Mathematics or related field) Must be enrolled in an accreditedcollege or university throughout the duration of the co-op/internship Must be able to relocate to the office location and work 40 hrs./week, Monday-Friday, for the full duration of the internship/co-op 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 with Python and deep learning framework and relevant libraries such as RDkit, PyTorch, TensorFlow, Keras, Scikit-learn, Pandas etc. Preferred Requirements: Familiarity with Time series modelling, Natural Language Processing, Neural Networks and Deep learning framework. Familiarity in developing dynamical (mathematical) and statistical/machine learning models. Ability to work in a matrix and in a global environment. Good written, presentation and verbal communication skills are essential. 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, whetheritsthrough a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Exposuretocutting-edgetechnologies 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. GD-SA LI-SA LI-Onsite vhd null

Keywords: Sanofi, Warwick , Machine learning applied to Quantitative Pharmacology - Small molecules Fall 2026 Co-op, Science, Research & Development , Cambridge, Rhode Island