Statistical Data Scientist - Injectables and Tech Transfer

Pursue Progress, Discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

As a Statistical Data Scientist - Injectables and Tech Transfer, you'll be on a mission to enable Injectables sites and tech transfer projects to reach operational excellence in process development and optimization through an AI & data-driven organization.

Ready to get started? Join a global network that powers how Sanofi delivers - seamlessly, purposefully, and  Manufacturing & Supply, you'll help reimagine how life-changing treatments reach people everywhere, faster.

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

Main responsibilities:

• Apply data science expertise to solve related problems using data-driven techniques (Machine Learning, statistics, text-mining/NLP, forecasting, etc.).
• Perform data analysis and visualization to assist with problem-solving and process optimization.
• Carry out Advanced Kinetic Stability (AKM) modelling analysis within the injectables and Tech Transfer platform.
• Support Digital Twin/ Process Modelling implementation and act as the DSD representative for Injectables and Tech Transfer projects.
• Deploy and sustain best practices in statistical approaches/modelling and utilisation across DSD Injectables network.
• Participate in the development of site statistical systems, and rollout of support across the DSD Injectables to upskill across the network.
• Provide oversight of the methods in which statistical expertise are applied to activities within the DSD Injectables.

About You:

• Bachelor's degree in Statistics, Biostatistics, Computer Science, or Applied Mathematics, or any similar and relevant field.
• Master's degree would be preferred.
• 3+ years of hands-on experience as a Statistician or Data Scientist in a GMP-regulated manufacturing environment. Academic or research experience may be considered if conducted within the pharmaceutical industry.
• Strong understanding of the application of statistics and data analytics within a manufacturing setting, with familiarity with regulatory statistical expectations.
• Proficient in statistical analysis packages, particularly Minitab and/or JMP, with solid problem-solving and data analytical skills.
• Knowledge of the various stages of sterile manufacturing, from process development through to inspection, packaging, and tech transfer.
• Proven ability to influence and communicate effectively across multidisciplinary and multicultural teams, with strong interpersonal skills.
• Flexible and adaptable, with the ability to prioritize and manage workload effectively in a fast-paced, dynamic environment.

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.
• Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply.
• Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale.
• Transform lives worldwide by delivering life-changing treatments anywhere, anytime.