Product Manager, Genomic Data & Analytics (Hybrid)

United States Digital Space LLC

Greater London

Hybrid

GBP 70,000 - 95,000

Full time

4 days ago
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Benefits offered by this job

Pension scheme
Private health insurance
Enhanced paid family leave

Job summary

United States Digital Space LLC is seeking a Product Manager for Data and Analytics on the Mystra platform. You will bridge strategy and delivery, turning approved initiatives into clear epics and features that engineers can build and scientists can trust.

You will own the move from discovery to delivery, defining the why and what so the team starts with clarity and remains focused on scientifically valid, technically sound outcomes.

Qualifications

  • Fluency with genomic data; ability to read GWAS papers, interpret p-values, effect sizes and population diversity.
  • Experience in product management or product ownership; write strong requirements and weigh trade-offs.
  • Ability to define features with clear done criteria and leave story-level detail to the delivery team.

Responsibilities

  • Break down strategic initiatives into 2–4 well-scoped epics and features with rationale.
  • Create context documents with workflows, personas, edge cases and constraints for the delivery team.
  • Collaborate with Scientific SMEs to ensure scientifically sound requirements and with Data Services to understand ingestion constraints.
  • Coordinate with Engineering, Design and User Research to ensure feasibility and alignment with customer needs.
  • Lead delivery kick-offs and bi-weekly check-ins with clear prioritisation.
  • Identify recurring ambiguities and feed them back to the Director of Product Management.

Skills

Genomic data fluency
Product management
Cross-functional collaboration
Technical communication

Job description

United States Digital Space LLC is seeking a Product Manager for Data and Analytics on the Mystra platform. You will bridge strategy and delivery, turning approved initiatives into clear epics and features that engineers can build and scientists can trust.

You will own the move from discovery to delivery, defining the why and what so the team starts with clarity and remains focused on scientifically valid, technically sound outcomes.

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