Reference No. R2772039

About the Job

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.

Sanofi Global MSAT (Manufacturing Sciences, Analytics, and Technology) acts as a crucial link between our R&D and Manufacturing facilities, playing a vital role in securing the present portfolio and delivering future launches of high-quality and innovative drugs and vaccines. By driving its own transformation, Global MSAT fulfills an important function by providing day-to-day Manufacturing Support, focusing on technical and process aspects, effective Life Cycle Management, process robustness enhancement, and yield improvement to optimize performance. Join our global network and contribute to the launch of 3 to 5 new products annually across various modalities, enabling us to reach and serve more patients and communities. Collaborate with a team of talented and passionate international experts, scientists, and project leaders who are dedicated to inventing, designing, and implementing cutting-edge industrial, chemical, and biological processes, analytical methods, and process modeling, all in support of Sanofi’s best-in-class ambition.

Under the leadership of MSAT and in partnership with many other functions (Manufacturing 4.0, Digital, M&S, R&D), the Process Data Science & Digital transformation (DSD) team is a transversal team driving innovations, developments, expansion, and integration within the MSAT day-to-day operational space. We strongly contribute to designing tomorrow’s industrial biological, chemical, and analytical processes bridging from R&D to industrial space.

The Viral and Bacterial Platform within the DSD organization is dedicated to providing data and analytics support to our process and product experts to improve & optimize M&S process performance to reach CMC and BOI ambitions and to capture meaningful insights and turn them into competitive advantages.

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

Main Responsibilities:

• Oversee and maintain global data science and digital applications for viral and bacterial drug substances, ensuring robustness, scalability, and fitness for purpose.

• Drive end-user engagement by promoting the integration of digital tools into daily workflows, enhancing productivity, and fostering a data-centric culture.

• Collaborate closely with cross-functional teams to align initiatives with business goals, prioritizing actions that streamline processes and enhance proactive problem-solving.

• Partner with Data Engineering to develop and maintain ETL pipelines, ensuring data accessibility, reliability, and compliance with industry quality standards.

• Utilize statistical analysis, machine learning, and predictive modeling to interpret complex datasets (e.g., time series, spectrometry, and discrete data), translating insights into actionable strategies.

• Demonstrate a proactive and collaborative approach, taking full ownership of activities and delivering results with minimal supervision.

• Communicate findings clearly across varied audiences, fostering alignment and understanding of data insights within business contexts.

• Promote a strong quality mindset with a focus on data integrity, validation, and data governance.

About You

Education and Experience:

• MS or PhD in Engineering or Science.

• Industrial experience exposure in pharmaceuticals or other manufacturing sector.

• +3 years of experience in process analytics and digital application/software development.

• Proficient in Python and SQL for data modeling, exploratory analysis, and visualization; skilled in deploying applications with tools like Streamlit and Flask.

• Experience with cloud ecosystems such as AWS and Snowflake, along with familiarity with data analysis tools like JMP, SIMCA, and Dataiku.

• Proven ability to translate mathematical modeling and data analysis into impactful visualizations and actionable insights.

• Strong knowledge of data historian systems such as PI Asset Framework and Event Frames.

• Solid experience in data governance and managing complex data workflows, with attention to data integrity and best practices.

• Effective in managing project delivery under dynamic conditions with a strong customer-centric approach.

• Skilled in thriving within team-oriented, fast-paced environments, maintaining adaptability and focus on results.

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

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.

At Sanofi, 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.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!