Machine Learning for Quantitative Pharmacology - Large Molecules Summer-Fall 2026 Co-op

Job Title Summer-Fall 2026 Co-op, Machine Learning for Quantitative Pharmacology, Large Molecules Location Cambridge, MA Overview Join the Quantitative Pharmacology group at Sanofi to develop AI/ML models that predict pharmacology dynamics of large molecules (biologics). You will help drive decision making across early drug development stages and support various R&D organizations. Responsibilities Implement, develop, and validate data‑based AI/ML models to enhance decision making. Analyze and interpret preclinical and clinical data. Design and train biology- and pharmacology-based AI/ML models. Support critical decision making as part of the QP team across multiple therapeutic areas. Basic Requirements Currently enrolled in a PhD program in a STEM field (Engineering, Computer Science, Mathematics or related field). Enrolled in an accredited college or university throughout the duration of the co‑op/internship. Able to relocate to the office location and work 40hrs/week, Monday‑Friday, for the full duration of the co‑op/internship. 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. Experience with Python and relevant libraries. Experience with statistical/machine learning. Experience with large language models, deep learning, or time‑series data modeling preferred. Preferred Qualifications Familiarity with basic concepts of drug discovery and development, especially biologics. Good written, presentation, and verbal communication skills. Ability to work in a matrix and global environment. Benefits Supportive, future‑focused team. Opportunities for growth and career development. Exposure to cutting‑edge technologies and research methodologies. Networking opportunities within Sanofi and the broader biotech community. Well‑crafted rewards package. Equal Opportunity Statement Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Aff… 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. #J-18808-Ljbffr Sanofi