2027 Summer Intern EGDS Morristown NJ

Sanofi•Morristown, NJ

1d•Onsite

About The Position

Sanofi is seeking a highly motivated Summer Intern to join its Evidence Generation and Decision Science (EGDS) Group within the Translational Medicine Unit. EGDS applies rigorous statistical principles to support evidence generation and data-driven decision-making across the drug development lifecycle, from first-in-human studies through pivotal registration trials. The group explores analytical approaches such as causal inference, Bayesian methods, real-world data analytics, artificial intelligence, and machine learning to improve trial design, operational efficiency, and insights from complex clinical and translational datasets. Under the mentorship of experienced biostatisticians, the intern will contribute to the design, conduct, and analysis of early- and late-phase clinical trials and participate in methodological research. Activities may include literature reviews, development of computational tools, and implementation of AI/ML modeling and simulation approaches in clinical trials. The internship is based in Morristown, New Jersey, lasts 8–12 weeks, and requires 40 hours per week, Monday through Friday, for the full duration.

Requirements

Have completed at least two years of graduate coursework and be working on a dissertation toward a PhD in statistics or biostatistics.
Be permanently authorized to work in the United States and not require employment visa sponsorship at the time of application or in the future.
Be enrolled in an accredited college or university throughout the internship.
Be able to relocate to the office location and work 40 hours per week, Monday through Friday, for the full duration of the internship.

Nice To Haves

Strong academic background in statistics, biostatistics, or data sciences.
Experience in data analysis, data visualization, machine learning, and modern AI tools.
Ability to work independently and collaboratively in a multidisciplinary team environment.

Responsibilities

Contribute to the design, conduct, and analysis of early- and late-phase clinical trials.
Engage in methodological research under the mentorship of experienced biostatisticians.
Conduct literature reviews.
Develop computational tools.
Implement state-of-the-art AI/ML modeling and simulation approaches in clinical trials.