2027 Summer Intern EGDS Morristown NJ

Sanofi; Cambridge (MA); On-site; USD 68,000 - 97,000; Full time

Job summary

Sanofi in Morristown, NJ is offering a 8–12 week Summer Internship in the EGDS group to advance evidence generation and decision science across the drug development lifecycle.

The intern will contribute to trial design/analysis, literature reviews, and development of computational tools, applying AI/ML methods under senior biostatisticians' guidance. Strong math background and relocation to Morristown are required.

Qualifications

• Two years of graduate coursework completed and work toward a PhD in statistics/biostatistics.
• Must be permanently authorized to work in the U.S. and not require visa sponsorship.
• Enrolled in an accredited college/university for the duration of the internship.
• Relocation to Morristown, NJ and 40 hours/week, Monday–Friday, for the full duration.

Responsibilities

• Design, conduct, and analyze early- and late-phase clinical trials under mentorship.
• Literature review, development of computational tools, and AI/ML modeling and simulation in trials.

Skills

Statistics

Biostatistics

Data Science

Education

PhD in statistics/biostatistics

Job description

Job Title: 2027 Summer Intern EGDS

• Grade: Intern
• Location: Morristown, NJ
• Duration: 8 - 12 Weeks

About the Job

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Summer Intern to join our EGDS (Evidence Generation and Decision Science) Group.

As an integral part of the Translational Medicine Unit, the EGDS group applies rigorous statistical principles to support evidence generation and data‑driven decision‑making across the drug development lifecycle, from first‑in‑human studies to pivotal registration trials. The group actively explores innovative analytical approaches, including causal inference, Bayesian methods, real‑world data analytics, artificial intelligence, and machine learning, to enhance trial design, optimize operational efficiency, and generate deeper insights from complex clinical and translational datasets.

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

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.

Main Responsibilities

• The intern will contribute to the design, conduct, and analysis of early‑and‑late‑phase clinical trials while engaging in methodological research under the mentorship of experienced biostatisticians.
• The candidate will be involved in a range of activities, including literature review, development of computational tools, and implementation of state‑of‑the‑art AI/ML modeling and simulation approaches in clinical trials.

About you

Basic Qualifications

• Candidates must have completed at least two years of graduate coursework and be working on a dissertation toward a PhD in statistics or biostatistics.
• 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 Internal requirements for this program unless eligible for an alternative long‑term status that does not require company sponsorship.
• 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 to Friday for the full duration of the co‑op/internship.

Preferred Qualifications

• Candidates should have a strong academic background in areas such as statistics, biostatistics and data sciences.
• Experience in data analyses, data visualization, machine learning, and modern AI tools is highly desirable.
• The ideal candidate will demonstrate the ability to work both independently and collaboratively within a multidisciplinary team environment.

Why Choose Us

• Bring the miracles of science to life alongside a supportive, future focused team.
• Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
• Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
• Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.

Compensation

The salary for this position is $60 USD hourly. All compensation will be determined commensurate with demonstrated experience.

#LI-Onsite

#vhd

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.