Clinical Data Product Owner

Job Responsibilities

• Define and own the vision, roadmap, and quality of clinically oriented data products, designing meaningful concepts and features from diverse sources such as genomic, clinical, and pathology data.
• Develop patient eligibility logic, phenotyping algorithms, and inclusion and exclusion criteria that are practical and repeatable across data sources.
• Serve as the clinical voice of the customer, partnering with commercial teams on product strategy and acting as a scientific expert in client conversations.
• Lead the design and development of new product features, and manage data-privacy certification workflows, such as HIPAA expert determination, with third-party providers.
• Partner with data science and engineering to validate cohort definitions, implement clinical requirements, and ensure product accuracy and usability.
• Establish clinical validation frameworks, quality metrics, and success measures that build product credibility and drive adoption.
• Author scientific and clinical materials, including white papers, vignettes, and presentations, that support evidence generation, customer education, and training.
• Maintain clinical data standards, documentation, and data dictionaries across product development.

Required Qualifications

• Advanced degree (PhD, MD, or MSc) in epidemiology, biostatistics, public health, computational biology, or a related clinical or quantitative field.
• 7+ years of experience in clinical research, real-world evidence, or healthcare data product development, including ownership of a data product or data asset.
• Deep, demonstrable understanding of clinical data elements found in claims, electronic medical records, pathology reports, and molecular diagnostics.
• Proven experience with patient phenotyping and clinical cohort development, and a track record of translating customer needs into product requirements.
• Strong communication skills, with the ability to present nuanced clinical and technical material clearly to scientific and commercial audiences.
• Working proficiency with data tools (SQL and/or Python or R) sufficient to specify and validate cohort logic in partnership with data science teams.
• Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Preferred Qualifications

• Strong knowledge of oncology, molecular biomarkers, and precision medicine concepts.
• Prior experience in biotechnology, pharmaceutical, or healthcare technology organizations, ideally supporting data partnerships.
• Familiarity with real-world evidence and claims datasets, and with de-identification and expert-determination concepts.
• Experience with data governance, data dictionary maintenance, and work requiring clinical data integrity.