Job Title: 2027 Spring Co-op Machine Learning AI
- Grade: Co-op
- Location: Cambridge, MA
- Duration: 6 months
About the JobLooking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated
Spring Co-op to join our
Machine Learning AI team.
The Quantitative Pharmacology (QP) group in Sanofi is seeking a Machine Learning co-op to implement, develop and validate data-based (AI/ML) models to enhance decision making across drug discovery and development.
The focus will be on predicting pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical and clinical data. The resulting AI/ML models will aid in early drug development decisions and drive impact across multiple R&D organizations. In support of these activities, the successful incumbent should be able to 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. The QP group supports multiple therapeutic areas and research platforms within the broader R&D organization.
Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life - all while supported by inspiring mentors and collaborative teams.
About YouBasic 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 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
Preferred Qualifications:- Familiarity with basic concepts of drug discovery and development. Focus on biologics preferred.
- Good written, presentation and verbal communication skills are essential.
- Ability to work in a matrix and in a global environment.
- Experience with Large Language models/ deep learning/ time series data modeling preferred
Why Choose Us- Bring the miracles of science to life alongside a supportive, future focused team.
- Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
- Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
- Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
CompensationThe salary range for this position is $47 -$60 hourly. All compensation will be determined commensurate with demonstrated experience.
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Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
