2027 Summer Intern Clinical Statistical Modeling Cambridge MA

Sanofi; Cambridge (MA); On-site; USD 65,000 - 92,000; Full time

Job summary

Sanofi in Cambridge, MA invites PhD candidates to join our Clinical Statistical Modeling team as a Summer Intern. This 10-12 week co-op offers hands-on experience applying advanced statistical methods to real-world clinical data, with mentoring from senior statisticians and scientists.

You'll assist in designing and validating models, analyzing trial data, and contributing to decision-making processes across drug development, while learning in a collaborative, innovation-driven environment.

Qualifications

• Currently enrolled in a PhD program in Statistics, Biostatistics, Applied Mathematics, CS, Pharmacometrics, or related field.
• Must be permanently authorized to work in the U.S. without visa sponsorship.
• Must be enrolled in an accredited college or university for the duration of the co-op/internship.
• Must relocate to the office and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.

Responsibilities

• Support clinical statistical modeling across ongoing trials and drug development.
• Assist in the design, development, and validation of statistical models used in clinical decision-making.
• Perform data analysis on clinical trial datasets.
• Collaborate with cross-functional teams (Biostatistics, Clinical Pharmacology, Data Management) to support modeling deliverables.
• Help prepare documentation, reports, and visualizations summarizing modeling outputs and findings.
• Participate in team meetings and knowledge-sharing sessions.
• Present a summary of internship project outcomes to the broader team at the conclusion of the internship.

Skills

R

Python

Education

PhD in Statistics/Biostatistics/Applied Mathematics/CS/Pharmacometrics

Tools

Git

Job description

Job Title: 2027 Summer Intern Clinical Statistical Modeling

• Grade: Intern
• Location: Cambridge, MA
• Duration: 10-12 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 Clinical Statistical Modeling team.

Sanofi's Clinical Statistical Modeling team is seeking a motivated Summer Co-op to join us for the 2027 internship program. This role offers a unique opportunity for a PhD candidate to apply advanced statistical and computational methods to real-world clinical data, contributing directly to Sanofi's mission of chasing the miracles of science to improve patients' lives. The Co-op will work closely with experienced statisticians, modelers, and clinical scientists on high-impact projects supporting drug development decisions.

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

• Support clinical statistical modeling activities across ongoing clinical trials and drug development programs
• Assist in the design, development, and validation of statistical models used in clinical decision-making
• Perform data analysis and exploratory statistical work using clinical trial datasets
• Collaborate with cross-functional teams (Biostatistics, Clinical Pharmacology, Data Management) to support modeling deliverables
• Help prepare documentation, reports, and visualizations summarizing modeling outputs and findings
• Participate in team meetings and knowledge-sharing sessions
• Present a summary of internship project outcomes to the broader team at the conclusion of the internship

Basic Qualifications:

• Currently enrolled in a PhD program in Statistics, Biostatistics, Applied Mathematics, Computer Science, Pharmacometrics, or a related quantitative field.
• 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

• Proficiency in R and/or Python for statistical programming and data analysis
• Strong foundation in statistical theory and methods (e.g., regression modeling, longitudinal data analysis, survival analysis)
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills, with the ability to present technical results clearly
• Ability to work both independently and collaboratively within a team environment
• Prior coursework or research experience in clinical trial design, statistics, biostatistics
• Familiarity with clinical trial data structures (e.g., SDTM, ADaM) is a plus
• Experience with version control tools (e.g., Git) and reproducible research practices

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 $57 USD hourly. All compensation will be determined commensurate with demonstrated experience.

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