Senior Product Manager, Life Sciences Data Products

Senior Product Manager, Life Sciences Data Products (Applied AI)

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

• Initial 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.)