Location: U.S. (Remote-first) with optional hub-based hybrid
Employment: Full-time
Level: Senior IC (high ownership)
Start: ASAP / Flexible
Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use.
As Senior Product Manager, Life Sciences Data Products , you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows.
This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities.
Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes.
Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services.
Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness.
AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling).
Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes.
Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects.
Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices.
Required
5+ years building data products or platforms for life sciences and/or healthcare customers.
Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership.
Technical fluency across data infrastructure , APIs, pipelines, and working concepts in ML-enabled products (no need to code).
Track record partnering with engineering and data teams to deliver complex, high-impact product work.
Excellent communication—credible with technical teams and clear with non-technical stakeholders.
Comfort operating in a fast-moving environment with evolving inputs and limited process.
Nice to have
0 1 product experience or taking early products to scale in a regulated domain.
UX/product design sensibility with strong intuition for end-user workflows.
Prior experience in analytics, data science, or experimentation.
Familiarity with privacy, governance, and quality frameworks for sensitive datasets.
Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI
Meaningful influence over what becomes productized vs. service-heavy
Close collaboration with technical leadership and high visibility across the company
Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)
