Senior Product Manager, Biology

Opportunity

We are seeking a Senior Product Manager, Biology to shape products and capabilities that help Biology and Discovery teams design, execute, analyze, and learn from experiments faster, with trusted data and AI-enabled support.

This role will define and deliver product strategy for Biology workflows, data products, and AI-enabled decision support on RevCore, our enterprise Data, Digital, and AI platform.

The mandate is to improve experiment traceability, reduce manual data preparation, accelerate cross-study analysis, and make Biology insights easier to generate and act on.

You will partner with scientists across Protein Science, Structural Biology, Screening Sciences, Sample Management, In Vivo Research, Pathology, Translational Research, Computational Biology, Data Science, ML Engineering, Data Engineering, IT, and platform teams to turn complex research workflows into intuitive, scalable products.

Required Skills, Experience and Education

• 8+ years of experience in Product Management, Data Product Management, Research Informatics, Scientific Data Platforms, Bioinformatics, Computational Biology, or related roles within biotech, pharma, life sciences, or another research-intensive environment.
• Strong product leadership experience defining vision, shaping strategy, building roadmaps, prioritizing tradeoffs, and delivering measurable outcomes.
• Deep understanding of Biology research workflows across domains such as Protein Science, Structural Biology, Screening Sciences, In Vivo Research, Pathology, Translational Research, or related discovery functions.
• Experience translating scientific workflows into scalable product capabilities, user stories, evaluation criteria, and product requirements.
• Working knowledge of Biology data and systems, including experimental metadata, assay and screening data, sample and reagent data, structural, imaging, in vivo, pathology, translational, ELN/LIMS, and downstream analysis workflows.
• Technical fluency across data platforms, data integration, analytics, data quality, governance, metadata, ontologies, and interoperability practices.
• Experience with research systems such as ELN, LIMS, assay platforms, screening systems, imaging systems, pathology systems, scientific workflow tools, analysis platforms, and related informatics systems.
• Strong communication and stakeholder management skills across scientific, computational, technical, vendor, and business teams.
• Ph.D., M.S., B.S., or equivalent experience in Life Sciences, Biology, Bioinformatics, Computational Biology, Computer Science, Engineering, Information Systems, or a related field.

Preferred Skills

• Experience evaluating, implementing, or integrating SaaS platforms, scientific workflow tools, screening platforms, imaging/pathology platforms, analysis platforms, or vendor solutions for Biology research use cases.
• Experience enabling scientific data foundations for advanced analytics, machine learning, GenAI, scientific copilots, knowledge graphs, or decision-support products.
• Experience building self-service data access, search, semantic discovery, cross-study analysis, natural language query, or “Ask your data” experiences for scientific users.
• 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.
• Familiarity with FAIR data principles, scientific ontologies, metadata standards, knowledge management, or scientific data interoperability approaches.
• Comfort operating in an emerging biotech environment where strategy, execution, ambiguity, evolving scientific needs, vendor complexity, and hands-on problem solving are part of the work.

Pay

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is $186,000 - $233,000 USD.