Biomarker Statistics - Summer 2026 Intern

    • Sanofi
  • CAMBRIDGE, MA
  • Posted 19 hours ago | Updated 19 hours ago

Overview

On Site
Full Time

Skills

Mergers and Acquisitions
Data Integration
Visualization
Pharmaceutics
Analytics
Mentorship
Biostatistics
Statistics
Computer Science
Bioinformatics
Biology
R
Python
Design Of Experiments
Molecular Biology
Data Analysis
Machine Learning (ML)
Clinical Trials
Communication
Presentations
Science
Promotions
Health Care
Research
Computer Networking
Collaboration
Partnership
Military
Cellular
Testing
Law

Job Details

Job Title: Biomarker Statistics -Summer 2026 Intern

Location: Cambridge, MA

About the Job

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

Join our Biomarker Statistics team for a 12-week internship focused on innovative statistical approaches in drug development and biomarker analysis.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:
  • Support statistical analysis of biomarker data from clinical trials
  • Develop and implement statistical methods for multi-omics data integration
  • Assist in creating visualization tools for complex biological datasets
  • Collaborate with cross-functional teams on biomarker-driven projects

Learning Opportunities:
  • Hands-on experience in pharmaceutical research
  • Exposure to cutting-edge biomarker analytics
  • Mentorship from experienced statisticians
  • Real-world drug development projects

About You

Basic Qualifications:
  • Currently enrolled and pursuing a PhD (3+ years) in Biostatistics, Statistics, Computer Science, Bioinformatics, Computational Biology or related field at an accredited college or university.
  • Must be enrolled in school the semester following your internship/co-op with Sanofi
  • Experience with programming in R or Python
  • Knowledge of statistical methods and experimental design
  • Understanding of molecular biology concepts

  • Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

    Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or ) 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 requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship


Preferred Qualifications:
  • Experience with omics data analysis
  • Familiarity with machine learning approaches
  • Knowledge of clinical trial design
  • Strong communication and presentation abilities


Why Choose Us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.
  • Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
  • Exposure to cutting-edge technologies and research methodologies.
  • Networking opportunities within Sanofi and the broader biotech community.


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

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