Product Manager, Evidence Generation & Life Sciences Applications
Core
Define, deliver, and execute AI-assisted applications and products for clinical data abstraction, data quality review, and evidence generation to support drug development and clinical research.
Role type
Senior Product Manager (Healthcare AI & Evidence Generation)
Builds
AI-assisted workflows for clinical data abstraction, data quality validation, and evidence generation for life sciences organizations.
Domain
Life Sciences / Healthcare Technology / Real-World Evidence
Deliverable
production ML models | product features
Required skills
Product management in healthcare technology, AI-assisted workflow design, healthcare data expertise (EHR, registry, claims), structured requirements writing, agile sprint leadership, cross-functional stakeholder management
Preferred skills
Experience with clinical trial-adjacent capabilities, PROs and EHR data integration, regulatory-grade evidence generation standards
Technologies
AI/ML tools for clinical abstraction, EHR systems, data platforms
Responsibilities
Define and document workflows for abstraction tools and AI-assisted processes; Lead user interviews and design sessions to optimize application UX; Manage product backlog and lead sprint coordination; Collaborate with Commercial and Scientific teams on customer requirements; Become a subject matter expert on end-user workflows to accelerate data science and clinician work.
Seniority
Senior, hands-on IC