Accelerator Digital Lead Data Scientist (Paris)
Paris, France Regular Posted on Aug. 18, 2025 Closing on Oct. 31, 2025About the job
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Accelerator R&D Team as a Digital Lead Data Scientist and you can help make it happen. Your job? Challenging the status quo to ensure the development and impact of Sanofi's AI solutions for the patients of tomorrow. Lead the deployment of AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Ready to get started?
Remote working : 2 days remote working, 3 days on site
Main responsibilities:
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.
Directly engage with external data partners to evaluate and build relationships to acquire and access real-world data assets
Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products to accelerate and optimize R&D
Understanding and effectively work with a wide variety of data sources, such as unstructured data, omics, wearable device data (for example accelerometry and ECG), voice recordings, imaging data, electronic health records, social media postings or operational 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
Assist and train assistants and other members of the team on how to properly organize findings and read data collected
About you
Experience:
Experience developing deployable code and deploying models in product-focused development under an agile environment.
Excellent management and articulation of a team of Data Scientists
Experience in a healthcare company is a strong plus
Soft skills:
Experience working with multiple teams to drive alignment and results
Excellent business analysis, data visualization and data storytelling skills
Technical skills:
Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
Expertise with sensitive data in critical environments (healthcare, defense,...)
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)
Knowledge of Tableau, Power BI, Plotly or similar
Experience with various enterprise-level Application Programming Interfaces (APIs)
Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired
Good knowledge of AI regulations
Education:
Master's Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline OR PhD + 3 years of with relevant work & domain experience
Languages: English
Why choose us?
We provide a highly collaborative environment, with an opportunity to work with a world class team.
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.
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.
Play an instrumental part in creating best practice within our manufacturing facility
PursueProgress. 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!
Pursue Progress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and 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, gender identity, protected veteran status or other characteristics protected by law.
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