2027 Summer Intern Biostatistics Interactive Benchmarking Platform Cambridge MA

Sanofi • Cambridge, MA

2d • $45 - $57 • Onsite

About The Position

Sanofi is seeking a motivated summer intern to develop an interactive benchmarking platform for predicting placebo response rates and variability in Atopic Dermatitis (AD) clinical trials. The intern will use the AD Placebo iDB, an internal database containing historical data across populations and study designs, to build a predictive modeling framework and deploy it as a user-friendly Shiny application.

The project aims to help teams predict placebo responses for planned patient populations and future Phase 2/3 trials, supporting trial-design optimization, sample-size planning, and go/no-go decisions. The intern will explore the data, develop predictive models, and document, validate, and deploy the interactive platform for clinical and statistical teams.

This is a 10–12-week internship based in Cambridge, Massachusetts. The intern must be able to work 40 hours per week, Monday through Friday, for the full duration and relocate to the office location.

Requirements

• Currently pursuing a master's or PhD degree in Biostatistics, Statistics, Computer Science, or a related field.
• Must be permanently authorized to work in the United States and not require employment visa sponsorship at the time of application or in the future, unless eligible for an alternative long-term status that does not require company sponsorship.
• Must remain enrolled in an accredited college or university throughout the internship.
• Must 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

• Machine learning experience.
• Experience with data visualization, including interactive plots.
• Experience with version control tools such as Git/GitHub.
• Experience with clinical trial data structures such as CDISC.

Responsibilities

• Explore the AD Placebo iDB, an internal database of historical clinical trial data.
• Develop predictive models for placebo response rates and variability in Atopic Dermatitis clinical trials.
• Build an interactive Shiny application to predict placebo responses based on patient population and study design characteristics.
• Document, validate, and deploy the interactive benchmarking platform.
• Support proactive clinical trial design optimization, including sample-size planning and go/no-go decisions.

Benefits

• Mentoring and guidance from experienced leaders.
• Opportunities to learn through internships, apprenticeships, graduate programs, and international experiences.
• Access to modern tools, digital innovation, and continuous learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern