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Machine learning applied to Quantitative Pharmacology - Small molecules Fall 2026 Co-op
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Job Title: Machine learning applied to Quantitative Pharmacology - Small molecules Fall 2026 Co-op
Location: Cambridge, MA
About the Job
Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll 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 end‑to‑end 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:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s 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 people’s 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, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Exposure to cutting-edge technologies 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.
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Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
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- Shape your own journey. At Sanofi, diverse perspectives fuel bold thinking – and your path is yours to define. Whether through internships or graduate programs, you’ll explore more and build the future-ready skills that take your potential to the next level.
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- Make an impact from day one. Your work matters. You’ll shape solutions, contribute to an inclusive, sustainable future, and experience what it means to say: This is how we Sanofi.
This is how we Sanofi
Building international networks, empowering career growth, and innovating through smart risks. This is how we innovate. This is how we transform healthcare. This is how we Sanofi.
"We’re transforming Early Careers at Sanofi — with a clear mission to empower the next generation of healthcare leaders with the skills of tomorrow. Here, you’ll find bold and meaningful experiences that fuel your growth, ignite your potential, and enable you to make an impact from day one."
Andrew Sharp
Global Head of Early Careers
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