Principal Product Manager, Biology

Opportunity

We are seeking a Principal 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.

Required Skills, Experience and Education

• 10 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.
• 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.

Base Pay Salary Range

$211,000 - $264,000 USD