Scientific Product Owner, QDI

QIAGEN•Remote_California, CA

22d•$120,000 - $165,000•Hybrid

About The Position

QIAGEN Digital Insights is hiring a Scientific Product Owner to own the backlog for clinical interpretation software and translate scientific and customer needs into requirements for engineering. The role serves as the scientific voice within the development team, writing precise user stories, reviewing acceptance criteria, and testing delivered features. The position focuses on QIAGEN Clinical Insight (QCI) product lines for hereditary disease and somatic cancer NGS interpretation. It works closely with Product Managers, Software and QA Engineers, UX Designers, Content Scientists, and customer-facing teams across the US and Europe. The Scientific Product Owner also contributes scientific expertise to product design and roadmap planning, prioritizes issues based on clinical impact, and supports release readiness and design control documentation within an ISO 13485 quality system.

Requirements

MS or PhD in genetics, molecular biology, genomics, or a related life science, with expertise in cancer and/or hereditary disease.
Working knowledge of variant classification guidelines such as ACMG/AMP and common genomic data formats and databases.
At least 1 year in a product owner, business analyst, or requirements role on a software or bioinformatics product, or equivalent hands-on experience writing specifications for developers.
Familiarity with agile development (Scrum or Kanban) and tools such as Jira, Confluence, and requirements-management systems.
Excellent written and spoken English, including scientific and technical writing.
Collaborative team player able to coordinate work across functions and across US and European time zones.
Attentive to detail, curious, and comfortable with complex scientific, technical, and regulatory topics.

Nice To Haves

At least 2 years interpreting clinical next-generation sequencing (NGS) data in a clinical lab, research, or testing environment.
Comfort discussing APIs, data models, and system behaviour with engineers; software engineering background is not required.

Responsibilities

Own the product backlog for assigned releases and write and refine user stories and acceptance criteria so work is ready for development.
Translate scientific needs from product managers, content scientists, key opinion leaders, and customers into clear software requirements.
Lead refinement sessions and resolve scientific domain questions for engineering.
Shape scientific design for hereditary and somatic workflows with product management and content science teams.
Work with engineers on how scientific content, variant annotation, and classification logic flow through the platform.
Test new features from a scientific user’s perspective and confirm requirements are fully covered.
Prioritize customer-reported issues and enhancement requests by clinical impact.
Assess reported issues for severity, patient safety, and usability risk in the IVD clinical decision-support product.
Maintain design control documentation and support release readiness, including release notes, user guides, and training for field application scientists and support teams, within an ISO 13485 quality system.
Act as a scientific subject-matter expert and contribute to roadmap planning.