AI Product Owner – Life Sciences Platform

Danaher Corporation; United States; Hybrid; USD 160,000 - 227,000; Full time

Job summary

IDBS, part of Danaher, seeks a Principal Product Owner for AI to lead AI capabilities across the Polar platform. You will shape AI features from RAG concepts to grounded scientific workflows, ensuring auditability, data integrity, and cross-team collaboration with ML engineering, data engineering, and UX.

Office-based in the UK with remote options for the right candidate; global customers and strict compliance standards are a core focus.

Qualifications

• Bachelor’s degree in CS, Bioinformatics, data science, or related.
• Multiple years as a Product Owner or technical PM delivering software in Agile/SAFe.
• Hands-on with retrieval-augmented generation (RAG), vector search, or LLM-driven features.
• Experience delivering software with strict data governance and compliance.
• Ability to author technical stories and non-functional requirements for engineers.
• Willingness to travel up to 10–15% for PI planning and customer visits.
• Familiarity with ELN/LIMS/CMC or lab data management is a plus.

Responsibilities

• Define AI capabilities and translate workflows into user stories with grounding criteria.
• Lead backlog and sprint planning for the AI feature team.
• Oversee integration between platform data and AI components across data contracts.
• Ensure compliance, security, and tenant isolation in design and execution.
• Collaborate with pilots and design partners to validate guided scenarios and capture improvements.

Skills

Product ownership

AI & RAG fluency

Data governance

Technical backlog writing

Cloud data & AI stacks

AI evaluation pipelines

Travel readiness

Education

Bachelor’s degree

Tools

AWS Bedrock

OpenSearch

Databricks

MCP tooling

Job description

IDBS, part of Danaher, seeks a Principal Product Owner for AI to lead AI capabilities across the Polar platform. You will shape AI features from RAG concepts to grounded scientific workflows, ensuring auditability, data integrity, and cross-team collaboration with ML engineering, data engineering, and UX.

Office-based in the UK with remote options for the right candidate; global customers and strict compliance standards are a core focus.