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

Machine Learning for Quantitative Pharmacology Large Molecules Summer-Fall 2026 Co-op Employer Sanofi Location Cambridge, Massachusetts Start date May 9, 2026 View more categories View less categories Discipline Administration , Human Resources/Recruiting , Information Technology , Business/Data Analytics , Science/R D , Pharmacology , Machine Learning Required Education Bachelors Degree Position Type Full time Hotbed Genetown Apply now Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job

Job Details Company Job Details Job Title:

Summer-Fall 2026 Co-op, Machine Learning for

Quantitative Pharmacology, Large Molecules Location:

Cambridge, MA About the Job Join the engine of Sanofis mission where deep immunoscience meets bold, AI-powered research. In R D, youll drive breakthroughs that could turn the impossible into possible for millions. 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.

About Sanofi:

Were an R D-driven, AI-powered biopharma company committed to improving peoples 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 peoples 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 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-Friday, for the full duration of the co-op/internship 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 relevant libraries Experience with Statistical/Machine Learning Experience with Large Language models/ deep learning/ time series data modeling preferred

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.

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, whetheritsthrough a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Exposuretocutting-edgetechnologies 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. #GD-SA #LI-SA #LI-Onsite #vhd null Company Pursue Progress. Discover Extraordinary. Science has been our calling from the beginning. Sanofi's heritage of turning the impossible into the possible stretches back to the 19th century — a rich history of healthcare innovation built by diverse companies united by one shared purpose. More than 150 years later, that spirit lives in everything we do and every person we serve — from the patients who take our medicines, to the healthcare professionals who trust us, to the 83,000+ employees and communities around the world who make it all possible. And today, we're writing the next chapter of that legacy. We are an R D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Better is out there. Better medications, better outcomes, better science. And it all starts with people like you — from different backgrounds, in different locations, doing different roles — united by a single mission: we chase the miracles of science to improve people's lives. Take the most important step in your career and help us change the lives of patients, families, and communities for the better. Company info Location Cambridge Massachusetts United States Share this job Facebook Twitter LinkedIn Apply now Send job Apply now Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Get job alerts Create a job alert and receive personalized job recommendations straight to your inbox. Create alert