Product Owner, Discovery AI

Sanofi • Cambridge, MA

10h

About The Position

As Product Owner, Discovery AI within our Digital team , you will support the development and delivery of AI/ML-powered digital products that help Sanofi scientists identify and prioritize novel therapeutic targets. We work at the intersection of biology, data science, and software — and we are growing. Working under the guidance of senior product leaders, you will leverage your scientific background to bridge the gap between research teams and technology solutions, ensuring that digital tools meet real scientific needs and integrate effectively into research workflows. You will be the connective tissue between our scientific users and the engineering teams that build for them. Your scientific background is your superpower: researchers will trust you, you will understand their language, and you will translate their needs into work the development team can execute on. With a continuous drive for improvement, you will always seek new opportunities to make your product more valuable — the status quo is not enough. This role is deliberately structured as a learning environment. You will be mentored by experienced Product Owners and will grow your product management skills through hands-on delivery, taking on increasing ownership as your confidence and capability build. 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.

Requirements

• Bachelor's in life sciences, computational biology, bioinformatics, or a related field (Master's plus)
• 3-5 years experience in laboratory research or related domain in the life sciences or helathcare space.
• 2-4 years of Product Ownership, project management or program coordination experience in pharma, biotech, or academic R&D
• Strong written and verbal communication skills — including the ability to write clearly for both scientific and non-scientific audiences
• Comfort engaging with diverse stakeholders across functions
• Eagerness to develop new skills and take on increasing responsibility
• Openness to feedback and commitment to continuous improvement
• Adaptability in a fast-paced, evolving environment
• Proactive approach to problem-solving and professional development

Nice To Haves

• Hands-on experience with biological data types: genomics, transcriptomics, proteomics, or multi-omics
• Working knowledge of target discovery, disease biology, or drug/vaccine development processes
• Experience with concepts of digital product development and management
• Exposure to Agile or Scrum methodologies, even informally
• Experience with change management best practices and demonstrated experience
• Experience building, adopting, or championing analytical platforms or bioinformatics tools in a team setting
• Familiarity with AI/ML concepts and their application in drug discovery

Responsibilities

• Be the Voice of the Scientist
• Conduct discovery sessions and requirements interviews with scientific stakeholders to surface real unmet needs
• Translate user needs into structured user stories and acceptance criteria that engineering teams can build against
• Validate delivered features with scientific users to confirm they solve the original problem and feed findings back into the backlog
• Support Agile Product Delivery
• Participate in sprint planning, backlog grooming, sprint reviews, and retrospectives alongside other Product Owners on the team
• Contribute to backlog prioritization by applying structured frameworks that weigh scientific impact, user need, and technical feasibility
• Track what gets built against what was promised and flag misalignments early
• Write and maintain product documentation: user guides, release notes, and data dictionaries
• Learn to Build a Product Case
• Support the development of lean product proposals articulating the business problem, target users, and riskiest assumptions
• Contribute to business case documentation as products move through Sanofi's stage-gate process (Explore to Build to Scale)
• Help track KPIs and user adoption metrics post-launch to demonstrate product value to leadership
• Drive Adoption
• Design and deliver onboarding and training programs that help research teams integrate new AI/ML tools into their workflows
• Create materials — walkthrough guides, use case examples, FAQs — that make it easy for scientists to understand and use new capabilities
• Monitor adoption metrics and synthesize user feedback into concrete product improvement recommendations
• Connect Teams and Keep Alignment
• Build working relationships across computational biology, wet-lab research, data science, and engineering
• Facilitate communication between scientific users and the development team, ensuring shared understanding of goals and priorities
• Represent scientific user needs clearly in cross-functional forums and product planning sessions within Discovery AI, Digital In Silico Research and wider Digital R&D

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level