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

Sanofi is an R&D-driven, AI-powered biopharmaceutical company focused on improving lives through medicines and vaccines. The Spring Co-op will implement, develop, and validate AI/ML models using structural, preclinical, and clinical data to support drug discovery, development, and decision-making for biologics.

What you'll do:

• Implement, develop and validate data-based (AI/ML) models to enhance decision making across drug discovery and development
• Predicting pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical and clinical data
• Analyse and interpret preclinical and clinical data, design and train Biology- and Pharmacology-based AI/ML models and support critical decision making as part of the QP team

What they're looking for:

• 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 currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program 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 40hrs/week, Monday to Friday for the full duration of the co-op/internship
• Experience with Python and relevant libraries
• Experience with Statistical/Machine Learning
• Good written, presentation and verbal communication skills are essential
• Ability to work in a matrix and in a global environment
• Familiarity with basic concepts of drug discovery and development. Focus on biologics preferred
• Experience with Large Language models/ deep learning/ time series data modeling preferred

Benefits:

• Mentoring and guidance from inspirational leaders
• Supportive, future-focused team
• Apprenticeships, internships, graduate programs, and international experiences
• Access to the latest tools, digital innovation, and continuous learning