AI/ML Drug Design Product Owner

Job title: AI/ML Drug Design Product Owner

• Location: Cambridge, MA

About the Job

As AI/ML Drug Design Product Owner within our Digital team, you will be part of chasing the miracles of science to improve people's lives. At Sanofi, 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.

Digital & Data is at the heart of Sanofi with the ambition to be the leading digital healthcare platform to develop and deliver medicine faster, enable healthcare professionals to improve treatments, and help patients improve their health. 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 through cutting-edge AI, machine learning, and computational modeling.

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, translating 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 product roadmaps and backlogs for AI/ML solutions 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, balancing scientific accuracy with intuitive design principles to ensure developed solutions are accessible, scalable, and usable by non-computational scientists.

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

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.

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.

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 int