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Principal Data Scientist - E.D.G.E. Team

Synthorx

Synthorx

Data Science
Barcelona, Spain
Posted on Jul 30, 2025

Job Title: Principal Data Scientist - E.D.G.E. Team
Location: Barcelona, Spain

Flexible working: 60% home office / week

Job type: Permanent, Full time

About the job

Are you ready to revolutionize healthcare through cutting-edge data science and AI? Join Sanofi's E.D.G.E. (Emerging Disruptive Growth Exploration) Team as a Principal Data Scientist, and you'll be at the forefront of innovation, developing data-driven solutions that improve health outcomes globally. Your expertise will be crucial in predicting disease onset using non-traditional approaches and driving evidence-based product development that impacts millions of lives.

We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams harness digital technology and AI to deliver exceptional customer experiences. We pursue progress to make a real impact on millions of patients worldwide, especially for underserved populations.

Main responsibilities

  • Lead groundbreaking machine learning and AI initiatives to solve complex healthcare challenges

  • Develop advanced computational and statistical methodologies for cutting-edge analytics

  • Collaborate across Sanofi to deliver impactful analyses that address key business questions

  • Apply your expertise in machine learning, statistics, and data mining to drive product innovation

  • Mentor junior colleagues and champion analytics results to non-technical audiences

  • Work with internal and external data scientists to scope and execute advanced analytics projects

  • Support the implementation of patient-centric strategies alongside other Sanofi teams

About you

  • Advanced degree in Data Science, Statistics, Mathematics, or a related quantitative field

  • Proven track record in applying analytics to solve complex product or business problems

  • Expertise in advanced ML techniques, including deep learning and NLP

  • Experience with big data platforms (e.g., Databricks) and high-level ML libraries

  • Proficiency in Python, R, SQL, and data visualization technologies

  • Knowledge of Vertical Federated Analytics (e.g., FlowerAI)

  • Strong communication skills to translate complex concepts for diverse audiences

  • Passion for improving healthcare outcomes through innovative data solutions

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 internationally

  • Enjoy a thoughtful rewards package that recognizes your contribution and amplifies your impact

  • Take good care of yourself and your family with comprehensive health and wellbeing benefits

  • Be part of a team that's actively shaping the future of healthcare through data and AI

  • Work on projects that have a direct impact on improving lives globally

  • Access to cutting-edge technologies and resources in data science and AI

At E.D.G.E., you'll be more than a data scientist – you'll be a pioneer in healthcare innovation. Your work will directly contribute to improving lives and transforming patient care through the power of data and AI.

#Sanofi #WeNeverSettle #SanofiCareers #PursueProgress #DiscoverExtraordinary #joinsanofi #careerswithpurpose #LI-EUR

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!