About the Job
At Sanofi, we chase the miracles of science to improve people's lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people. As one of the leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our products empower self-care, prevent and treat diseases, and help people live better.
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. Our scale, strong connections within health ecosystems across the world, and ability to leverage Sanofi's capabilities make us the best place to push the boundaries of medicine through technology.
Why joining Sanofi Digital
• Executive sponsorship and governance, with newly appointed CDO & leadership team
• Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
• Unique diversity of medical & technical challenges, with mobility opportunities
The Digital In Silico Research team is a key innovation engine within Digital R&D, dedicated to pioneering next-generation digital products that reshape how R&D discovers, designs, and develops new medicines. We harness cutting-edge AI, machine learning, and computational modeling to build transformative in-silico solutions—empowering scientists with predictive insights, streamlining complex workflows, and turning data into decisive action. Our team plays a critical role in accelerating and transforming drug discovery and translational research by building AI-powered, in-silico solutions that empower scientists, enhance decision-making, and connect data to action.
As Digital Product Owner, Target Discovery you will be responsible for owning and developing AI-powered target discovery and validation products that help Sanofi identify and prioritize novel therapeutic targets. You will own the product vision and backlog for specific target discovery solutions, working closely with development teams to deliver capabilities that combine advanced AI, machine learning, and data integration with experimental techniques. Working at the intersection of computational biology, AI/ML, and drug discovery, you will translate scientific requirements into actionable product features that accelerate the path from disease understanding to therapeutic intervention.
You will collaborate with computational biologists, data scientists, and wet-lab researchers to ensure that target discovery products meet scientific needs and integrate effectively into research workflows. Your expertise will help build robust AI/ML solutions that enable scientists to leverage multi-omics data, genetic evidence, and biological pathway knowledge to identify and validate promising therapeutic targets.
Key Responsibilities
Product Ownership & Development:
1. Own the product vision and backlog for specific target discovery AI/ML products
2. Create and maintain detailed product roadmaps aligned with scientific priorities
3. Write clear user stories and acceptance criteria for development teams
4. Manage sprint planning, backlog grooming, and product iterations in an Agile environment
5. Prioritize features and requirements based on scientific impact and technical feasibility
Scientific Requirements & Delivery:
6. Gather and analyze requirements from scientific stakeholders
7. Translate complex biological needs into clear technical specifications
8. Work directly with development teams to ensure successful feature delivery
9. Validate that delivered solutions meet scientific user needs
10. Drive continuous product improvement based on user feedback
Stakeholder Collaboration:
11. Build strong relationships with computational biologists and wet-lab scientists
12. Facilitate communication between scientific users and technical teams
13. Partner with data scientists to implement effective ML models
14. Work with IT teams to ensure robust data pipelines and infrastructure
15. Engage with scientific stakeholders to understand evolving research needs
Product Adoption & Success:
16. Drive user adoption through training and documentation
17. Monitor product usage metrics and gather user feedback
18. Identify and address barriers to adoption
19. Demonstrate product value through scientific use cases
20. Support users in integrating tools into their research workflows
About You
Experience:
Bachelors Degree required,4+ years of experience in life sciences product/project management, computational biology, bioinformatics, or related fields within pharmaceutical R&D or biotech, advanced degree in life sciences discipline strongly preferred
Required Skills:
Technical Skills:
21. AI/ML Fundamentals - Understanding of machine learning concepts, model types (supervised/unsupervised learning, deep learning), and their applications in drug discovery
22. Target Discovery Domain Knowledge - Familiarity with target identification and validation processes, disease biology, biological pathways, and the drug development pipeline – hands-on experience with a variety of small, large, and macromolecule experimental methods ideal
23. Biological Data Literacy - Understanding of omics data (genomics, proteomics, transcriptomics), biological databases, and biomarkers
24. Bioinformatics & Computational Biology - Knowledge of common tools, platforms, and workflows used in computational target discovery
25. Data Architecture & Management - Understanding of data pipelines, data quality, integration of diverse biological datasets, and cloud platforms
26. Product/Project Management Methodologies - Proficiency in Agile/Scrum, roadmap planning, backlog management, and user story creation
27. Pharma Regulatory Landscape - Awareness of data privacy regulations (GDPR, HIPAA), validation requirements, and GxP considerations
28. Technical Communication - Ability to understand technical discussions with data scientists and translate requirements between technical and scientific teams
Soft Skills:
29. Stakeholder Management - Building relationships with scientists, data scientists, IT, legal, and business leaders across the organization
30. Scientific Translation - Bridging the gap between computational scientists, wet-lab researchers, and business stakeholders
31. Strategic Thinking - Aligning product vision with therapeutic area strategies and business objectives
32. Prioritization & Decision-Making - Balancing competing priorities, managing trade-offs, and making data-driven decisions under uncertainty
33. Change Management - Driving adoption of AI tools in traditionally conservative scientific environments
34. Communication & Influence - Articulating complex technical concepts clearly and persuading without direct authority
35. Adaptability - Navigating the rapidly evolving AI landscape and shifting organizational priorities
36. Collaborative Leadership - Facilitating cross-functional teams and fostering a culture of innovation and experimentation
Additional Qualifications:
37. Experience in or good understanding of Pharma R&D portfolio optimization in large pharma, or demonstrated ability to learn the business quickly
38. Strong networking, influencing and negotiating skills and superior problem-solving skills
39. Demonstrated experience leading design-thinking and ideation workshops with diverse groups of stakeholders
40. Experience in leading cross-functional teams and managing complex projects or programs
41. Excellent ability to listen to stakeholders and end users, ensuring products are built to address their specific needs and use cases
42. Passion for leveraging AI and computational approaches to accelerate drug discovery and improve patient outcomes
#LI-Hybrid #BarcelonaHub #SanofiHubs
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 !