Scientific Data Analyst

Scientific Data Analyst

Sanofi

Marcy-l'Étoile, France

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.

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.