Digital Product Owner, Target Discovery  jobs in United States
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Sanofi · 16 hours ago

Digital Product Owner, Target Discovery 

Sanofi is an R&D-driven biopharma company committed to improving people’s lives through innovative medicines. The Digital Product Owner for Target Discovery will own and develop AI-powered target discovery and validation products to identify and prioritize novel therapeutic targets, collaborating with various teams to ensure successful integration into research workflows.

Health CareLife SciencePharmaceuticalTherapeutics
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H1B Sponsor Likelynote

Responsibilities

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
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
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
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

Qualification

AI/ML FundamentalsTarget Discovery Domain KnowledgeBioinformatics & Computational BiologyProduct/Project Management MethodologiesBiological Data LiteracyData Architecture & ManagementPharma Regulatory LandscapeStakeholder ManagementScientific TranslationPrioritization & Decision-MakingChange ManagementCommunication & InfluenceTechnical CommunicationStrategic ThinkingAdaptabilityCollaborative Leadership

Required

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
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
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

Preferred

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

Benefits

High-quality healthcare
Prevention and wellness programs
At least 14 weeks’ gender-neutral parental leave

Company

Sanofi is a global biopharma company focused on prescription drugs, vaccines, and treatments for chronic, rare, and infectious diseases.

H1B Sponsorship

Sanofi has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (101)
2024 (68)
2023 (59)
2022 (78)
2021 (38)
2020 (38)

Funding

Current Stage
Public Company
Total Funding
$6.97B
Key Investors
Blackstone Life SciencesEvotec
2025-10-28Post Ipo Debt· $3B
2025-06-17Post Ipo Debt· $1.74B
2025-03-05Post Ipo Debt· $1.59B

Leadership Team

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Paul Hudson
Chief Executive Officer
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Francois-Xavier Roger
Chief Financial Officer
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Company data provided by crunchbase