Principal Product Manager, Real World Evidence Intelligence

Opportunity

We are seeking a Principal Product Manager, Real-World Evidence Intelligence to shape products and capabilities that help teams use real-world data to design better studies, evaluate feasibility, support regulatory and evidence strategies, communicate value, and monitor outcomes across the product lifecycle.

Required Skills, Experience and Education

• 12+ years of experience in Product Management, Data Product Management, RWE Informatics, Life Sciences Data Platforms, Evidence Strategy, Epidemiology, HEOR Analytics, Outcomes Research, or related roles within biotech, pharma, healthcare technology, consulting, data providers, or another regulated environment.
• Strong product leadership experience defining vision, shaping strategy, building roadmaps, prioritizing tradeoffs, influencing senior stakeholders, and delivering measurable outcomes.
• Deep understanding of how RWE supports clinical development, regulatory strategy, medical strategy, HEOR, market access, safety, and post-approval evidence generation.
• Experience translating evidence workflows into scalable product capabilities, user stories, evaluation criteria, and product requirements.
• Working knowledge of RWD sources, observational methods, and evidence-grade practices, including claims, EHR, registries, labs, genomics, PROs, cohort definition, confounding, endpoint construction, comparative effectiveness, external comparators, synthetic cohorts, data quality, provenance, reproducibility, privacy, governance, and compliance.
• Product judgment to evaluate build, buy, partner, and integration options based on user value, data fitness, vendor maturity, compliance needs, scalability, interoperability, and maintainability.
• Strong communication and stakeholder management skills across evidence, clinical, medical, market access, safety, technical, legal, compliance, vendor, and executive audiences.
• Advanced degree or equivalent experience in Life Sciences, Public Health, Epidemiology, Health Economics, Outcomes Research, Biostatistics, Biomedical Informatics, Computer Science, Information Systems, Engineering, or a related field.

Preferred Skills

• Experience delivering RWE data products, evidence intelligence platforms, cohort discovery products, HEOR analytics platforms, or AI-enabled evidence decision-support capabilities.
• Experience with oncology, precision medicine, biomarker-driven populations, external control arms, regulatory-grade RWE, or post-approval evidence generation.
• Experience evaluating, implementing, or integrating SaaS platforms, RWD vendors, evidence platforms, data marketplaces, analytics partners, or external data providers.
• Experience using modern AI, analytics, workflow, and low-code tools to prototype product concepts, validate user needs, and de-risk ideas before larger product, platform, or vendor investments.
• Experience enabling self-service data access, cohort discovery, semantic search, natural language query, evidence landscaping, or “Ask your data” experiences.
• Comfort operating in an emerging biotech environment where strategy, execution, ambiguity, privacy, compliance, vendor complexity, and hands-on problem solving all matter.