Accelerator - Data Scientist (Lyon)
Sanofi · Lyon, Auvergne-Rhône-Alpes, France
- On site
- Full-time
- $120,000 / year
- Lyon, Auvergne-Rhône-Alpes, France
Job highlights
- Develop AI/ML products for drug launches and manufacturing.
- Work with real-time IoT manufacturing data.
- Accelerate new medicines and reduce costs.
- Collaborate with global R&D and M&S teams.
- Impact patients by advancing biomanufacturing.
About the role
About The Job
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 city center! 🏙️
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)
- Create best-in-class digitalized "Lighthouse" factories
- Drive manufacturing performance to reduce costs by over €500M in the next five years
But wait, there's more! 🎉
Your innovative journey takes place in a prime location:
- Embrace the startup vibe in our cutting-edge office space
- Enjoy countless amenities right at your doorstep - from nice cafés to restaurants
- 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! 🚀
Main Responsibilities
- Work with business teams to understand requirements, and translate them into technical needs
- Apply data science expertise in machine/deep learning, statistics, forecasting and optimization to multiple AI projects/products
- Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
- Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
- Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
- Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
- Work with developers, engineers, and MLOps to industrialise and deliver scalable AI/ML solutions
- Participate and contribute to the global data science community of practice
- Be accountable and responsible for the robustness of the AI solution
- Apply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical
- Mentor junior data scientists and analysts providing guidance in career development and technical growth
About you
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.
Experience
- 5 to 8 years' experience
- Experience developing deployable code and deploying models in product-focused development under an agile environment
- Experience in production-ready software development
- Track record of applying machine learning/deep learning approaches to solve various problems (commercial, industrial, research)
- Experience with database mining, big data, and large-scale virtual screening
- Experience in a healthcare company is a strong plus
- Experience in IoT and timeseries forecasting is a plus
Soft Skills
- Excellent written and verbal communication skills
- Experience working with multiple teams to drive alignment and results
- Service-oriented, flexible, positive team player
- Self-motivated, takes initiative
- Problem solving & critical thinking
Technical Skills
- Expertise in business analysis, data visualization and data storytelling
- Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)
- Expertise with sensitive data in critical environments (healthcare, defense, etc.)
- Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
- Experience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar
- Experience with various enterprise-level Application Programming Interfaces (APIs)
- Good knowledge of AI regulations
Education
- PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain
Languages
- English, French
Why choose us?
We Provide a Highly Open And Collaborative Environment, With An Opportunity To Work With a World Class Team. You Will Be Able To
- Learn what it takes to make a service with a truly global reach
- Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
- Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
Pursue Progress. Discover Extraordinary.
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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Key skills/competency
- Data Scientist
- Machine Learning
- Deep Learning
- Statistics
- Forecasting
- Optimization
- Python
- R
- Data Visualization
- AI/ML Solutions
Skills & topics
- Data Scientist
- Machine Learning
- Deep Learning
- AI
- Python
- R
- Statistics
- Forecasting
- Optimization
- Data Analysis
- AWS
- GCP
- Big Data
- Healthcare
- Biopharma
- Manufacturing
- Lyon
- France
- Full-time
- Hybrid
How to get hired
- Tailor your resume: Highlight machine learning, data science, and AI experience. Emphasize project impact and quantifiable results.
- Showcase your expertise: Detail your experience with Python, R, deep learning, and cloud platforms like AWS or GCP.
- Demonstrate leadership: Provide examples of mentoring junior scientists and driving AI solutions in cross-functional teams.
- Prepare for technical interviews: Be ready to discuss algorithms, model deployment, and responsible AI principles.
- Understand Sanofi's mission: Align your application with their commitment to transforming medicine and improving patient lives.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI/ML projects will a Data Scientist work on at Sanofi in Lyon?
- A Data Scientist at Sanofi Lyon will work on high-value digital products, including accelerating the launch of new blockbuster medicines and creating 'Lighthouse' factories. This involves applying machine learning, deep learning, statistics, forecasting, and optimization techniques to real-time IoT data from production and laboratory equipment, aiming to reduce manufacturing costs significantly.
- What is the expected experience level for the Data Scientist role at Sanofi?
- Sanofi seeks a Data Scientist with 5 to 8 years of experience. This includes a proven track record in developing deployable code, deploying models in agile environments, and applying machine learning/deep learning to solve complex problems. Experience in healthcare, IoT, and time series forecasting is a plus.
- What technical skills are most important for this Data Scientist position?
- Key technical skills include expertise in core data science languages like Python and R, familiarity with various database systems (SQL, NoSQL, etc.), and deep knowledge of machine learning techniques such as supervised/unsupervised learning, deep learning, LLMs, and optimization. Proficiency in cloud environments (AWS, GCP) and data visualization tools is also crucial.
- How does Sanofi support professional growth for Data Scientists?
- Sanofi offers abundant opportunities for professional growth by allowing Data Scientists to engage in meaningful work that spans pharma, manufacturing, and digital transformation. The role involves working with a world-class team in a highly collaborative environment, contributing to global initiatives, and potentially mentoring junior scientists.
- What is the work arrangement for the Data Scientist role in Lyon?
- This Data Scientist position in Lyon follows a hybrid work arrangement, with approximately 60% of the time spent in the office and 40% remote. It is a permanent, full-time role.
- What are the 'responsible AI' requirements for this Data Scientist role?
- The Data Scientist is expected to apply responsible AI framework and governance best practices. This includes ensuring the monitoring, explainability, trustworthiness, and ethical considerations of AI solutions developed and deployed within Sanofi's critical environments.
- How can a candidate best demonstrate their ability to work in a cross-functional environment for this role?