AI/ML Drug Design Product Owner
Cambridge, Massachusetts Regular Posté le Mar. 16, 2026 Expire le Jun. 29, 2026 Salary Range USD 133,500.00 - 192,833.33Job 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 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
Education
Bachelor Degree in Life Sciences (Computational Biology, Protein Engineering, Biochemistry or related field). Masters or PhD is a nice to have
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 with intuitive interfaces and effective data visualizations
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
What Makes you Stand Out:
Background in both wet-lab biology and computational/data science
Understand the technical architecture sufficiently to make informed product decisions and identify integration opportunities
Track record of driving measurable improvements in user adoption and satisfaction
Portfolio demonstrating successful scientific interface or visualization projects
Experience with design thinking methodologies and facilitation
Curiosity about emerging technologies in AI/ML and scientific computing
Why Choose Us
Bring the miracles of science to life alongside a supportive, futurefocused team.
Discover endless opportunities to grow your talent and drive your
career, whether it’s through a promotion or lateral move, at home or
internationally.Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
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.
Help reduce time from discovery to commercialization, delivering life-changing medicines to patients faster than ever.
Join a workplace where diversity, equity, and inclusion are at the core, with Employee
Resource Groups and leadership programs that celebrate every voice.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
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Rejoignez Sanofi et entrez dans une nouvelle ère de la science – où votre parcours peut être aussi transformateur que le travail que nous accomplissons. Nous investissons en vous pour que vous alliez plus loin, accélériez votre réflexion et accomplissiez ce qui n’a jamais été fait auparavant. Vous contribuerez à repousser les limites, à bousculer les conventions et à concevoir des solutions plus intelligentes pour les communautés que nous servons. Prêt·e à poursuivre les miracles de la science et à améliorer la vie des gens ? Poursuivons le progrès et découvrons l’extraordinaire – ensemble.
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