Scientific Data Analyst
Job title: Scientific Data Analyst
Location: France, Marcy l'etoile
Job type: CDI Permanent Contract
About the job
As Scientific Data Analyst within our Vaccines Biostatistical Sciences team, you have a passion to leverage your programming and AI/ML skillsets to analyze clinical trials data, bringing them to life and transforming our statistical programming practice.
What we offer you
- Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here.
- Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week
- Transportation: Public transport coverage up to 80%
- Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO
- Professional Development: Internal and international mobility opportunities, learning & development opportunities
- And more: platforms dedicated to peer‑to‑peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...
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.
Job Summary
You are an analytics specialist who integrates clinical science with modern data methods to design, build, and validate end‑to‑end, traceable evidence pipelines within and across trials, partnering with biostatisticians and other scientists to deliver insights for decisions and submissions.
Main responsibilities
Perform clinical trial data analyses – Conduct exploratory and confirmatory analyses on clinical trial datasets (SDTM, ADaM), working in close collaboration with biostatisticians to deliver high-quality, reproducible, and submission-ready outputs (tables, listings, figures)
Champion modern programming practices – Drive the transition from traditional SAS-based workflows to modern open-source languages (R, Python), promoting best coding practices such as version control (Git), code review, modular programming, and reproducible research frameworks
Leverage AI & Machine Learning to augment statistical programming – Explore and implement AI-powered tools (e.g., LLMs, code generation, automated QC) to accelerate and enhance programming workflows, from data wrangling to output generation and validation
Develop & maintain innovative analytical tools – Build reusable packages, pipelines, and automation frameworks that improve efficiency, standardization, and scalability of clinical data analyses across studies and programs
Collaborate closely with biostatisticians – Translate complex statistical analysis plans (SAPs) into robust, well-documented code; actively contribute to the design of analytical approaches and provide programming expertise in cross-functional study teams
Contribute to the evolution of the statistical programming practice – Actively participate in the definition of new standards, tools, and methodologies; act as an internal advocate and reference for innovation in data science applied to clinical development
Stay at the forefront of emerging technologies – Continuously monitor and evaluate new AI/ML tools, open-source developments, and industry trends (e.g., Pharmaverse, Posit/RStudio ecosystem) to bring forward‑thinking solutions into the organization
About you
- Experience: Exposure to real‑world data analysis projects through academic research projects or thesis work, Internships in pharma, biotech, CRO, or healthcare analytics, Kaggle competitions, hackathons, or open‑source contributions
- Technical skills: Strong proficiency in Python and/or R in terms of data manipulation, data visualization, reproducible workflows and data analyses
- Soft skills: Demonstrated leadership that includes interpersonal skills necessary for effective teamwork in multi‑cultural setting, ability to embrace and lead change, being curious to innovate and to bring improvement in the team practices where it adds value
- Digital acumen: AI/ML enthusiast, automation mindset, self‑learner
- Education: Master’s degree in Statistics, Data Sciences/Machine Learning, applied mathematics, Engineering with quantitative specialization. Preferred: Coursework or projects involving healthcare, life sciences, or clinical research data
- Languages: Fluent in English; additional languages a plus
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.