Digital Product Owner, Target Discovery
Sanofi

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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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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