Fall 2025 Co-op Quantitative Pharmacology

Job Title: Quantitative Pharmacology - 2025 Summer-Fall Co-op

About the Job

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

The Quantitative Pharmacology (QP) group in Sanofi is seeking a Machine learning co-op to be part of the implementation and development of data-based (AI/ML) models to drive optimal decision making in the development of therapies in a range of therapeutic areas and modalities.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• The scope of responsibility will involve aiding the group in the development of machine learning (ML) models to support drug prioritization and improve understanding of drug target interaction, drug disease association and drug safety.

• In support of these activities, the successful incumbent should be able to analyze and interpret preclinical and clinical data including real world data and be part of the QP team that develops modeling and simulation 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 You:

**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**

Basic Qualifications:

• Must be currently enrolled in a PhD program in Engineering, Computer Science, Mathematics or related STEM field at an accredited University.

• Must be enrolled in school the semester following your internship/co-op with Sanofi.  

• 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 have permanent US work authorization 
  

Preferred Qualifications:

• Familiarity in developing dynamical (mathematical) and statistical/machine learning models.

• Familiarity with Large language models, Natural Language Processing, Neural Networks and Deep learning framework.

• Proficiency in Python and relevant libraries.

• 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.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

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