2027 Spring Co-op Machine Learning AI, Cambridge, MA

About the role

Sanofi’s Quantitative Pharmacology (QP) group is seeking a highly motivated Spring Co‑op to join the Machine Learning AI team. The co‑op will implement, develop, and validate data‑based (AI/ML) models to enhance decision making across drug discovery and development, focusing on predicting pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical, and clinical data. The role involves analyzing and interpreting preclinical and clinical data, designing and training biology‑ and pharmacology‑based AI/ML models, and supporting critical decision making as part of the QP team.

About Sanofi

Sanofi is an R&D‑driven, AI‑powered biopharma company committed to improving people’s lives and delivering compelling growth. With deep expertise in the immune system and an innovative pipeline, Sanofi invents medicines and vaccines that treat and protect millions worldwide, pursuing the miracles of science to improve health.

Requirements

• Currently enrolled in a Master’s or PhD program in a STEM field (e.g., Engineering, Computer Science, Mathematics or related field)
• 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 on CPT, OPT, or STEM OPT usually require future sponsorship and do not meet internal requirements unless eligible for an alternative long‑term status that does not require company sponsorship
• Must be enrolled in an accredited college 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 to Friday for the full duration of the co‑op/internship
• Experience with Python and relevant libraries
• Experience with statistical/machine learning

Preferred qualifications

• Familiarity with basic concepts of drug discovery and development, with a focus on biologics preferred
• Good written, presentation, and verbal communication skills
• Ability to work in a matrix and global environment
• Experience with large language models, deep learning, or time‑series data modeling preferred

Benefits

• Apprenticeships, internships, graduate programs, and international experiences
• Mentorship from inspirational leaders and collaborative teams
• Opportunity to work on real projects that shape the future of healthcare
• Access to the latest tools, digital innovation, and continuous learning resources

Pay

The salary range for this position is $47‑$60 hourly, determined commensurate with demonstrated experience.

Schedule

Full‑time, 40 hours per week, Monday to Friday, for a 6‑month duration.