Job Title: Digital Product Owner, Target Discovery
Location: Cambridge, MA
About the Job
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.
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.
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.
Main Responsibilities:
Product Ownership & Development:
Own the product vision and backlog for specific target discovery AI/ML products
Create and maintain detailed product roadmaps aligned with scientific priorities
Write clear user stories and acceptance criteria for development teams
Manage sprint planning, backlog grooming, and product iterations in an Agile environment
Prioritize features and requirements based on scientific impact and technical feasibility
Scientific Requirements & Delivery:
Gather and analyze requirements from scientific stakeholders
Translate complex biological needs into clear technical specifications
Work directly with development teams to ensure successful feature delivery
Validate that delivered solutions meet scientific user needs
Drive continuous product improvement based on user feedback
Stakeholder Collaboration:
Build strong relationships with computational biologists and wet-lab scientists
Facilitate communication between scientific users and technical teams
Partner with data scientists to implement effective ML models
Work with IT teams to ensure robust data pipelines and infrastructure
Engage with scientific stakeholders to understand evolving research needs
Product Adoption & Success:
Drive user adoption through training and documentation
Monitor product usage metrics and gather user feedback
Identify and address barriers to adoption
Demonstrate product value through scientific use cases
Support users in integrating tools into their research workflows
About You
Experience:
Bachelors Degree required, minimum 3-5 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:
AI/ML Fundamentals - Understanding of machine learning concepts, model types (supervised/unsupervised learning, deep learning), and their applications in drug discovery
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
Biological Data Literacy - Understanding of omics data (genomics, proteomics, transcriptomics), biological databases, and biomarkers
Bioinformatics & Computational Biology - Knowledge of common tools, platforms, and workflows used in computational target discovery
Data Architecture & Management - Understanding of data pipelines, data quality, integration of diverse biological datasets, and cloud platforms
Product/Project Management Methodologies - Proficiency in Agile/Scrum, roadmap planning, backlog management, and user story creation
Pharma Regulatory Landscape - Awareness of data privacy regulations (GDPR, HIPAA), validation requirements, and GxP considerations
Technical Communication - Ability to understand technical discussions with data scientists and translate requirements between technical and scientific teams
Soft Skills:
Stakeholder Management - Building relationships with scientists, data scientists, IT, legal, and business leaders across the organization
Scientific Translation - Bridging the gap between computational scientists, wet-lab researchers, and business stakeholders
Strategic Thinking - Aligning product vision with therapeutic area strategies and business objectives
Prioritization & Decision-Making - Balancing competing priorities, managing trade-offs, and making data-driven decisions under uncertainty
Change Management - Driving adoption of AI tools in traditionally conservative scientific environments
Communication & Influence - Articulating complex technical concepts clearly and persuading without direct authority
Adaptability - Navigating the rapidly evolving AI landscape and shifting organizational priorities
Collaborative Leadership - Facilitating cross-functional teams and fostering a culture of innovation and experimentation
Additional Qualifications:
Experience in or good understanding of Pharma R&D portfolio optimization in large pharma, or demonstrated ability to learn the business quickly
Strong networking, influencing and negotiating skills and superior problem-solving skills
Demonstrated experience leading design-thinking and ideation workshops with diverse groups of stakeholders
Experience in leading cross-functional teams and managing complex projects or programs
Excellent ability to listen to stakeholders and end users, ensuring products are built to address their specific needs and use cases
Passion for leveraging AI and computational approaches to accelerate drug discovery and improve patient outcomes
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or a 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.
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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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 ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
US and Puerto Rico Residents Only
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; 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.
North America Applicants Only
The salary range for this position is:
$113,250.00 - $163,583.33All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.