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 leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

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.

As the Product Owner for AI/ML Drug Design, you will play a critical role in bridging the gap between powerful AI/ML models and the scientists who use them. Reporting to the In Silico Molecule Design Product Line Owner, you will envision and lead the creation of user-friendly computational platforms that make complex ML tool outputs accessible and actionable for scientists focused on molecular design processes. Your mission is to transform molecular design experience into compelling and intuitive workflows that seamlessly integrate biologics discovery processes.

This role sits at the intersection of cutting-edge AI/ML technology and user-centered design, where you will have a direct impact on how AI integrates research workflow to drive insights. You will partner closely with data scientists, ML engineers, and R&D scientists to understand both the technical capabilities of our models and the practical needs of bench scientists. Through these collaborations, you will translate complex technical capabilities into user-centered solutions that enable scientists to make faster, more informed decisions in molecular discovery, generation and optimization.

You will own products roadmap and backlogs for AI/ML solutions for enabling molecular design insights and decision making, working in agile pods to deliver iterative improvements that enhance user experience and accelerate adoption. A critical aspect of this role involves continuously evaluating research scientists' activities to identify bottlenecks and inefficiencies that can be addressed through innovative digital solutions. You will balance scientific accuracy with intuitive design principles, ensuring that developed solutions are accessible, scalable and usable by non-computational scientists who need to leverage AI insights confidently in their daily work.

Success in this role includes creating AI solutions that become essential tools in scientific research workflows, transforming how they leverage computational insights to drive scientific discovery and ultimately accelerating Sanofi's biologics research pipeline.

Key Responsibilities

Product Development & Delivery:

• Own and prioritize the product roadmap and backlog for AI/ML solutions serving molecular design scientists.

• Partner with data scientists and ML engineers to understand model outputs, capabilities and limitations

• Define detailed user stories, acceptance criteria, and success metrics based on scientific workflows

• Lead agile and iterative development with UX/UI designers, data scientists and data engineers

• Coordinate with MLOps teams to validate technical requirements and architecture.

• Balance new feature development with technical debt and user feedback

• Establish and monitor success metrics to demonstrate value realization at executive level.

User Experience & Adoption:

• Conduct user research with molecular design scientists to understand their workflows, pain points, data and predictive needs

• Design intuitive front-end interfaces and visualizations that make AI/ML predictions accessible, interpretable and actionable.

• Ensure interfaces are scientifically rigorous, communicating confidence levels and scientific context while remaining intuitive for users with varying computational backgrounds

• Lead usability testing sessions and gather continuous feedback from scientist users

• Monitor and drive adoption through targeted training, documentation and change management

Stakeholder Collaboration:

• Build partnerships with R&D scientists to understand biologics discovery workflows and challenges

• Collaborate closely with ML/AI teams to stay current on emerging opportunities and technical constraints

• Coordinate with the Product Line Owner on portfolio strategy, prioritization and resource allocation

• Communicate product progress, adoption metrics and value delivered to leadership

• Facilitate co-creation workshops and manage trade-offs between user needs and technical feasibility

Technical & Scientific Bridge:

• Serve as the translator between technical ML capabilities and scientific user needs

• Collaborate with data engineers to ensure robust data pipelines and APIs support seamless user experiences

• Stay current on best practices in scientific data visualization and interface design for computational biology

• Work with scientific informatics teams to ensure proper integration with existing molecular design tools and databases

About You

Experience:

• 6+ years of experience in product management and translating business requirements to technical specifications.

• Proven track record in collaborating with data scientists and developers in a scientific environment.

• Experience delivering digital products

Soft and Technical Skills:

• Solid understanding of biologics discovery workflows and challenges

• Strong ability to translate complex concepts into intuitive user experiences.

• Solid experience with agile product development methodologies (Scrum, Kanban) and cross-functional teams

• Familiarity with ML/AI applications in drug discovery

• Change management skills to drive adoption of new tools and workflows

• Proficiency with product management tools (Figma, Miro, JIRA, or similar)

• Ability to balance priorities and make data-driven decisions

Education:

• Bachelor Degree in Life Sciences (Computational Biology, Bioinformatics, Biochemistry or related field) with significant industry experience in computational biology. MS or PhD preferred.