apprenticeship 12 months – pharmacometrics modelling and simulation

Sanofi

Gentilly, FRunknownPosted Jun 30, 2026
Posting intelligenceActively listedReposted 11×, possible evergreen/ghost posting

At a glance

Why this role might suit you

Apprenticeship in pharmacometrics modeling at Sanofi offers hands-on experience in clinical modeling for oncology, mentorship, and exposure to AI-driven drug development in a purpose-driven environment.

Skills

pharmacometricsclinical-modelingstatistical-modelingr-programmingliterature-reviewmodeling-workflow-automationindividual-lesion-dynamicspfs-osdose-selectionstatistical-powerscientific-communicationpresentationreport-writingmaster-thesispublication

About the role

Job title: apprenticeship 12 months – pharmacometrics modelling and simulation

Location: Gentilly

Start: september 2026

About the job

As an apprentice within our Drug Disease Modeling team, you’ll contribute to the development of a clinical modeling framework for antibody-drug conjugate therapy in non-small cell lung cancer, with a focus on individual lesion dynamics and their link to survival outcomes. Ready to get started?

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:

Participate in a comprehensive literature review on individual lesion dynamics modeling approaches

Take part in the development of a joint model of individual lesion dynamics such as PFS/OS data using Phase 1 data and advanced statistical techniques.

Contribute to the evaluation of individual lesion dynamics versus for predictions, dose selection, and statistical power

Collaborate on modeling workflow automation and R code development

Support us in scientific communication through presentations, reports, master's thesis, and potential publication

About you

Soft and technical skills: autonomy, rigor, interpersonal skills. Proficiency in modeling workflow automation

Education: Master’s degree level in pharmacometrics

Languages: fluent in english

Why choose us?

Launch your career with a company that invests in you - and empowers you to reimagine what’s possible.

Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.

Grow in a purpose-driven company where your voice matters and your work helps improve millions of lives.

Thrive in inclusive, flexible workplaces that support your personal and professional well-being.

Enjoy attractive remuneration and access to a wide range of benefits (profit-sharing, Employee Share Ownership Plan, CSE social activities).

Benefit from 31 days of vacation per year and 5 paid "exam preparation" days, depending on your apprenticeship contract.

Our recruitment process is designed to be fast and efficient. If your application is accepted, you will receive a call from our recruiter for an initial telephone interview, followed by a quick meeting with the manager.

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.

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