Biostatistics - Summer 2026 Intern

Sanofi • Morristown, NJ

23d • Hybrid

About The Position

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?

Requirements

• 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

Nice To Haves

• Familiarity with clinical trial design and statistical modeling is a plus
• Excellent communication and collaboration skills

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.

Benefits

• 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.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees