Lead Data Scientist - Clinical Informatics (Clinical Data Standards)
Core
Lead a clinical data science team to activate CVS Health's clinical data repository, design data models and taxonomies, and enable self-service analytics for downstream AI/ML and reporting use cases.
Role type
Senior Lead Data Scientist (Clinical Informatics & Data Standards)
Builds
Clinical data feature store, validated data assets (tables/views), data quality frameworks, and documentation for clinical datasets.
Domain
Healthcare / Clinical Informatics / Data Standards
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Clinical data modeling, taxonomy design, data governance, SQL, cloud data platforms (GCP/BigQuery), data quality validation, stakeholder management, team leadership, clinical coding systems (ICD-10, SNOMED-CT, LOINC, etc.), data lineage documentation.
Preferred skills
OMOP CDM implementation, FHIR/HL7 interoperability standards, ETL design for heterogeneous clinical sources, data quality tooling (Achilles/DQDB), HIPAA/HITRUST compliance, clinical background (RN/MD/PharmD).
Technologies
Google Cloud Platform, BigQuery, SQL, OMOP CDM, FHIR, HL7, ICD-10, SNOMED-CT, LOINC, RxNorm, NDC, CPT, Achilles, Data Quality Dashboard.
Responsibilities
Design and maintain clinical data models and classification frameworks; develop and govern the clinical data feature store; enable self-service analytics by building reusable data assets; establish data quality frameworks and monitoring processes; lead and mentor data scientists and analysts; partner with stakeholders to translate clinical needs into data solutions; contribute to data governance and compliance initiatives; deliver training and consultations on clinical data assets.
Seniority
Senior, hands-on IC with leadership responsibilities