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Closed on August 31, 2026.

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Job Description

Based in Washington State on site, CVS Health seeks aSenior Data Scientist to activate the clinical data repository, empowering analysts and data scientists with accessible, well-documented data. The role focuses on building clinical data models, a feature store, and analytics assets to support healthcare analytics and AI/ML initiatives.

Responsibilities

  • Act as a subject matter expert for clinical data, including CCD data, claims, pharmacy, lab results, and clinical documentation, with a deep understanding of how to structure and apply this data to address healthcare problems.
  • Design and maintain clinical data models, taxonomies, and classification frameworks to enable consistent interpretation and usage across the organization.
  • Develop the clinical data feature store, establishing standards, documentation, and best practices that speed adoption of clinical data for downstream analytics, reporting, and AI/ML use cases.
  • Create analytics-ready data assets (tables, views, features) that are well documented and validated, enabling analysts and data scientists to work independently with clinical data.
  • Produce and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets.
  • Build queries, dashboards, and data visualizations to communicate data quality metrics, data availability, and clinical insights to both technical and non-technical stakeholders.
  • Collaborate with clinical, operational, and business stakeholders to understand data needs, translate requirements into data solutions, and ensure assets meet analytical objectives.
  • Maintain data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability.
  • Translate clinical concepts into analytical frameworks so business partners understand the capabilities and limitations of available clinical data.
  • Coordinate with data engineering teams to guide data pipeline development, ensuring ingestion, transformation, and storage support downstream analytics needs.
  • Contribute to data governance initiatives, including HIPAA compliance, data privacy regulations, and internal data stewardship policies.
  • Develop and deliver training, presentations, and consultations to current and prospective data consumers on clinical data assets, appropriate use, and analytics opportunities.
  • Keep current with clinical data standards (HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm) and industry best practices in clinical informatics.

Requirements

  • 4+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management.
  • Expertise with clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data.
  • Strong knowledge of clinical coding systems and terminologies such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data.
  • Proven ability to enable and support downstream data consumers through documentation, training, and consultative support.
  • Proficiency with SQL and experience working with large-scale healthcare datasets.
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery.
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data.
  • Excellent written and verbal communication skills, with the ability to explain complex clinical data concepts to technical and non-technical audiences.
  • Bachelor’s degree required.

Technologies

  • SQL
  • Google Cloud Platform (GCP)
  • BigQuery

Benefits

  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Other resources (based on eligibility)

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

$83,430 - $222,480 per year

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