Operational Planning & Capacity Management Data Analyst - VIE Contract

As Operational Planning & Capacity Management Data AnalystVIE within our Operational Planning & Capacity Management for Clinical Sciences & Operations platform team and within GPPM organization (Global Project & Planning Management) team, you’ll support R&D Clinical Sciences & Operations by ensuring integrated and aligned R&D operational Planning (P) and Resource Management (R).

You will also support and enhance data Science and analytics initiatives by developing solutions to automate data management, forecasting and simulations, as well as creating statistical analyses and predictive models. Given the strong need to share data pipelines and models with stakeholders, this role also involves developing user-friendly interfaces to manipulate and present results effectively to non-experts.

We are looking for someone dynamic, fast-learner and independent who can develop strong relationships with OPCM (Operational Planning & Capacity Manager), GPM (Global Project Manager) and Operationals within CSO area.

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

Ready to get started?

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:

• Maintain and develop end-to-end web applications for what-if scenario or data analyses.
• Write scripts for data extraction, cleaning, management, and visualization.
• Use statistical methods to analyze large datasets and extract valuable insights.
• Contribute to predictive models development.
• Lead and contribute to various transversal initiatives.
• Summarize, simplify, and present results during meetings with cross-functional teams in an international environment (collaborators located in the USA, Germany, China, and France).
• Play a strong role of interface between clinical stakeholders and OPCM to translate business needs into technical solutions and the reverse (ie, vulgarize complex and technical solutions to non-experts.

About you

Experience:

• Previous experience and strong knowledge of programming in Python.
• Experience working in Pharmaceutical industry.

Education:

• Master’s degree related to Data Science such as statistics, computer science, or mathematics.

Soft and technical skills:

• Autonomous and self-learner with excellent organizational skills, rigor, curiosity and creative problem-solving skills.
• Analytical mindset, pragmatic, striving for results.
• Ability to decrypt and translate business problems into technical solutions and to vulgarize complex and technical topics to non-experts.
• Good communication and network skills, presentation skills (verbal & written) and ability to work in an international and multi-cultural environment.
• Knowledge of programming in R and good understanding of SQL and databases would be a plus.
• Knowledge in Python/Dash web app framework development or other frameworks.
• Skills in statistical analysis, machine learning and statistical modelling.

Languages:

• Fluent in English (verbal and written), knowledge of German language and culture would be a plus.

Why choose us?

• Be part of a pioneering biopharma company where patient insights shape drug development.
• Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
• Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
• Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.
• Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
• Help improve the lives of millions of people globally by making drug development quicker and more effective.