Senior Data Scientist - Clinical Informatics (Analytics Enablement)
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