About the role

What you’ll do

• Define and execute a multi-year strategy for lab workflows, research data, and AI/ML-enabled capabilities
• Lead cross-functional product delivery, interoperability, and stakeholder adoption across drug discovery research
• Ensure governed, reproducible, and reusable data through ingestion, processing, QC, harmonization, and lineage/provenance
• Translate scientific needs into prioritized AI/ML product capabilities and success criteria
• Partner with data/AI and engineering teams to move from use-case discovery through pilots and scaled adoption
• Use telemetry and evidence to guide prioritization, iteration, and adoption

What you’ll need

• 5+ years of product leadership in life-sciences R&D with end-to-end ownership of a complex product area serving scientists and lab operations
• Demonstrated AI product leadership in scientific research
• Experience translating scientific needs into prioritized AI/ML capabilities and partnering with data/AI and engineering teams
• Understanding of how assay outputs become high-quality, analysis-ready, and reusable datasets through ingestion, processing, QC, harmonization, and lineage/provenance
• Experience with API-first/event-driven integration, data modeling and ontologies, master data management, FAIR data practices, metadata quality, and data stewardship
• Advanced degree in a life-science discipline (PhD, PharmD, MD, MS) or comparable hands-on lab experience

Original job description