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Early Careers
Shape the future with us. This is how we Sanofi.

Biostatistics - Summer 2026 Intern

Morristown, New Jersey
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At a glance

Early Careers at Sanofi aren’t just about landing a role – they’re about starting a journey that stretches you from day one. You’ll dive into projects that matter, surrounded by people who challenge, mentor, and inspire you to explore more every step of the way.

Here, you can navigate paths across science, digital, manufacturing, and business – following your curiosity, growing your expertise, and building skills for tomorrow. With AI-powered tools, world-class learning, and a culture rooted in collaboration, we give you the opportunity to develop your expertise and transform our future.

Job Title: Biostatistics - Summer 2026 Intern

Location: Morristown, NJ / Remote, US

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.

Are you passionate about applying cutting-edge machine learning techniques to real-world healthcare challenges? Join our Biostatistics team as a Summer 2026 Intern and contribute to the future of precision medicine. This role offers a unique opportunity to explore dose optimization strategies using deep reinforcement learning (DRL), with direct impact on clinical development and patient outcomes.

You will work under the guidance of experienced statisticians to develop and evaluate DRL models that simulate and optimize dosing regimens in clinical settings. This project will involve algorithm development, simulation studies, and performance benchmarking against traditional statistical approaches.

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:

  • Design and implement deep reinforcement learning models for dose optimization in clinical trial settings.

  • Conduct simulation studies to evaluate model performance under various clinical scenarios.

  • Compare DRL-based approaches with traditional dose-finding methods.

  • Collaborate with statisticians and clinical scientists to ensure clinical relevance and interpretability.

  • Document methodology, results, and insights for internal presentations and potential publications.

About You

Basic Qualifications:

  • Current PhD student in Statistics, Biostatistics, Computer Science, Applied Mathematics, or a related field at an accredited college or university

  • Experience and foundation in machine learning, with specific experience in deep learning and/or reinforcement learning

  • Hands-on experience with PyTorch, Gymnasium (or similar RL environments), and Python-based data science tools

  • 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 authorized to work in the US for the full duration of the co-op/internship

Preferred Qualifications:

  • Familiarity with clinical trial design and statistical modeling is a plus

  • Excellent communication and collaboration skills

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.​​

  • Work on high-impact projects that bridge AI and clinical research.

  • Gain exposure to real-world drug development challenges.

  • Collaborate with a multidisciplinary team of experts.

  • Opportunity to publish and present your work.

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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Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com

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  • Shape your own journey. At Sanofi, diverse perspectives fuel bold thinking – and your path is yours to define. Whether through internships or graduate programs, you’ll explore more and build the future-ready skills that take your potential to the next level.

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"We’re transforming Early Careers at Sanofi — with a clear mission to empower the next generation of healthcare leaders with the skills of tomorrow. Here, you’ll find bold and meaningful experiences that fuel your growth, ignite your potential, and enable you to make an impact from day one."

Andrew Sharp

Global Head of Early Careers

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