Accelerator Digital Lead Data Scientist; Lyon

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.

At Sanofi, we’re committed to transform the practice of medicine through break-through science. Within Sanofi, Manufacturing & Supply (M&S) is the bridge between Science and Patients, ensuring all patients get their dose reliably, that new medicines are launched faster to cover unmet needs and that they can be delivered affordably across the globe. At Sanofi we are convinced that Manufacturing is, and must in the future increasingly be, a competitive advantage and that digital unlocks every next step in that journey.

Join Sanofi Manufacturing & Supply (M&S):
Where Innovation Meets Life-Saving Impact in the Heart of Lyon!

Imagine working in a vibrant startup environment, right in Lyon's bustling citycenter!🏙️

Sanofi M&S offers an unparalleled playground at the intersection of drug development, advanced manufacturing, and cutting-edge AI. Here,you'll:

• Support 12 blockbuster launch teams and 40 global factories across R&D and M&S
• Work with real-time IoT data from state-of-the‑art production and laboratory equipment
• Contribute to one of the strongest treatment pipelines in biopharma
• Collaborate with world‑class scientists, engineers, and experts driving digital transformation

As part of our Digital M&S Accelerator, you’ll develop high‑value digital products to:

• Accelerate yearly launches of 3‑5 new blockbuster medicines (€1B+ annual revenue each)
• Drive manufacturing performance to reduce costs by over €500M in the next five years

But wait,there'smore!🎉

• Embrace the startup vibe in our cutting‑edge office space
• Enjoy countless amenities right at your doorstep
• Benefit from excellent public transport connections for an easy commute
• Experience the perfect blend of work and life in one of France's most dynamic cities Ready to shape the future of biomanufacturing, make a real‑world impact on patients' lives, and do it all from an amazing location?

Join us in Lyon and be part of something extraordinary! 🚀

• Work with business teams to understand requirements, and translate them into technical needs
• Directly engage with external data partners to evaluate and build relationships to acquire and access real‑world data assets
• Collect and mine data from disparate data sources, and willing to dig deeper and understand the process that creates the data
• Define and refine how Data Science can accelerate Sanofi digital products, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit
• Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
• Identify opportunities for data‑centric AI approaches to enrich M&S models
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI‑based data products to accelerate and optimize manufacturing and supply chain
• Understanding and effectively work with a wide variety of data sources, such as structured and unstructured data, IoT data
• Generate work product that includes interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs
• Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state‑of‑the‑art machine learning technologies
• Regularly evaluate data assets and identify potential impact on downstream analysis
• Build, manage and lead a team made of data analyst and data scientist
• Work in close relationship with data engineers and full stack engineers
• Assist and train assistants and other members of the team on how to properly organize findings and read data collected

You are a dynamic data scientist interested in challenging the status quo to ensure…