Position SummaryThe Clinical Data Product Owner is a Staff-level individual contributor who shapes how complex oncology data becomes clinically meaningful, trustworthy products. Working at the intersection of clinical science, real-world data, and product strategy, this role is the clinical voice of the customer, translating how researchers and partners think and work into clear product definitions, well-characterized patient cohorts, and features that are genuinely useful in practice. It is an opportunity to set the scientific standard for a growing multi-modal data portfolio and to see your work directly influence decisions in precision oncology.
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.
Physical Demands- Will work at a computer most of the time, with some time spent collaborating with colleagues, partners, and business leaders, either in person or through remote conferencing.
- Visual acuity and analytical skill to distinguish fine detail.
- Must possess the ability to sit and/or stand for long periods of time.
Training- All job-specific, safety, and compliance training is assigned based on the job functions associated with this employee.
Other- This position requires periodic work-related travel (up to 20%) and some evenings, weekends and/or holidays.
Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
