Scientific Data Analyst

Position

Scientific Data Analyst – France, Marcy l'etoile – CDI Permanent Contract.

Job Overview

You will leverage programming and AI/ML skills to analyze clinical trial data, transforming our statistical programming practice within the Vaccines Biostatistical Sciences team.

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.

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, 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) and promote 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, standardisation, and scalability of clinical data analyses across studies and programmes.
• 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 defining 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 organisation.

Qualifications

• 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 for data manipulation, data visualization, reproducible workflows and data analyses.
• Soft skills: demonstrated leadership including interpersonal skills for effective teamwork in multi‑cultural settings, ability to embrace and lead change, curiosity to innovate, and drive improvement in 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 a quantitative specialisation. Preferred coursework or projects involving healthcare, life sciences or clinical research data.
• Languages: fluent in English; additional languages a plus.

Benefits and Compensation

Fixed salary over 12 months plus a collective variable compensation based on Sanofi Group results.

Salary range: €38560,00 – €51413. Final compensation will be determined based on demonstrated experience, skills, location and other relevant factors.

• Health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered.
• Work‑life balance: 31 days of paid leave plus RTT depending on your status; remote work up to 2 days per week.
• Transportation: public transport coverage up to 80%.
• Group savings plan and PERCOL with employer matching, and PERO.
• Professional development: internal and international mobility opportunities, learning and development opportunities.
• Peer‑to‑peer recognition platforms and service exchanges within Sanofi employees.

Equal Opportunity Statement

Sanofi is an equal opportunity employer. We provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.