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Data science, ai, and machine learning lead - digital healthcare

Barcelona
Sanofi
Publicada el 18 diciembre
Descripción

1. Location: Barcelona, Spain

As Data Science, AI, and Machine Learning Lead within our Digital Healthcare team, you'll spearhead the development of innovative AI-driven solutions that transform patient care and revolutionize how we approach chronic conditions. Ready to make a real difference in people's lives?

Join the digital engine driving Sanofi's transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you'll help build the first biopharma company powered by AI at scale, creating cutting-edge tools that bridge the gap between clinical care and everyday health management.

About Sanofi:

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.

Main responsibilities:

2. Lead the design and implementation of cutting-edge AI and machine learning solutions to enhance our digital health platforms

3. Develop and oversee federated learning systems that protect patient data while enabling powerful insights

4. Create and implement predictive models that personalize care journeys and identify health risks early

5. Spearhead the development of AI-powered engagement tools, including intelligent chatbots and recommendation systems

6. Drive innovation in data engineering, ensuring scalable and secure handling of complex healthcare data

7. Collaborate with cross-functional teams to translate data insights into meaningful patient outcomes

8. Mentor and develop a team of data scientists and machine learning engineers

9. Advanced degree in Computer Science, Statistics, Applied Mathematics, or a related field

10. Proven track record in developing and deploying production-ready machine learning models in healthcare or related industries

11. Deep expertise in Python and modern ML frameworks (TensorFlow, PyTorch)

12. Experience with cloud-based data platforms (e.g., Databricks) and managing large-scale data systems

13. Strong understanding of healthcare analytics and data standards

14. Outstanding ability to communicate complex technical concepts to diverse stakeholders

15. Passion for improving healthcare access and patient experiences through innovative technology

16. Join the digital force behind Sanofi's AI-powered pipeline, where Expert, Generative, and Snackable AI accelerate the discovery, development and delivery of breakthrough treatments to patients

17. Drive meaningful change at scale, helping reduce time from discovery to commercialization and bringing innovative therapies to patients faster

18. Work in a safe, responsible environment, with a strategy that balances digital innovation with the appropriate level of risk management for each AI system

19. See your technical expertise directly translate into better patient outcomes for millions worldwide

20. Enjoy greater scope for experimentation and impact, thanks to our horizontal management structure and two-week proof-of-concept approach

21. Benefit from pioneering partnerships with OpenAI, AQEMIA, IBM, and others

22. Thrive in inclusive, flexible workplaces that support your personal and professional well-being, including options for 60% home office per week

Pursue, discover

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 and check out our Diversity Equity and Inclusion actions at !

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