Spring 2027 Quantitative Pharmacology Co-op: AI/ML Modeling

Sanofi Group; Morristown (NJ); On-site; USD 79,000 - 83,000; Full time

Job summary

Sanofi Spring Co‑op in Morristown, NJ seeks a PhD candidate to join the Quantitative Pharmacology team. You will develop and apply quantitative models, leverage AI/ML techniques, and collaborate with scientists to support decision making across drug development.

You will be mentored by leaders in Translational Medicine and contribute to simulations, data integration, and state‑of‑the‑art modeling within a 6‑month program. Relocation to Morristown and a 40‑hour work week are required.

Qualifications

• PhD candidate must be enrolled at a university and eligible for a 6‑month co‑op/internship.
• Must be permanently authorized to work in the U.S. without visa sponsorship.
• Must relocate to Morristown, NJ and work 40 hours per week, Monday to Friday.

Responsibilities

• The co‑op will work with experienced scientists to develop and apply quantitative, mathematical, and statistical models and simulations.
• Contribute to advancing methodologies, including AI/ML to complement mechanistic and statistical modelling.
• Engage in literature review, development of computational tools, and implementation of modeling approaches within a quantitative framework.
• Explore AI/ML opportunities to augment pharmacometrics workflows such as data integration and predictive modeling.

Skills

Quantitative methods

PK/PD

Data modeling

Machine learning

Team collaboration

Education

PhD candidate

Job description

Sanofi Spring Co‑op in Morristown, NJ seeks a PhD candidate to join the Quantitative Pharmacology team. You will develop and apply quantitative models, leverage AI/ML techniques, and collaborate with scientists to support decision making across drug development.

You will be mentored by leaders in Translational Medicine and contribute to simulations, data integration, and state‑of‑the‑art modeling within a 6‑month program. Relocation to Morristown and a 40‑hour work week are required.