Clinical Analytics Data Scientist — Health Intelligence

CVS Health; United States; Remote; USD 83,000 - 204,000; Full time

Job summary

CVS Health is seeking a Senior Data Scientist in Clinical Intelligence to translate health data into meaningful performance measures and actionable analyses across multiple care settings. You will contribute to dashboards, cohorts, and analytics that improve quality, access, and population health.

You will collaborate with clinicians, analytics teams, and Epic tools experts to operationalize measures and ensure privacy and governance compliance in all analyses.

Qualifications

• 2 to 4 years of healthcare data science experience.
• Experience analyzing EHR, encounter, clinical, laboratory, medication, order, or results data.
• Proficiency in SQL and working proficiency in R, Python, SAS, or another statistical programming language.
• Experience developing clinical measures, dashboards, analytic datasets, cohorts, or outcome analyses.
• Working understanding of clinical workflows and the limitations of EHR-derived measures.
• Ability to collaborate with clinicians, informaticists, engineers, operations leaders, and business stakeholders.

Responsibilities

• Applies SQL, statistical programming, and visualization tools to explore, analyze, and interpret EHR, encounter, clinical, and care-delivery data.
• Develops and maintains analytical frameworks, key metrics, and dashboard content related to clinical quality, access, preventive care, immunizations, care gaps, chronic disease, encounters, referrals, follow-up, and strategic performance.
• Builds and validates cohorts using encounters, appointments, orders, results, medications, problem lists, diagnoses, procedures, immunizations, referrals, providers, locations, and clinical documentation.
• Works across approved Epic analytic assets, including Clarity, Caboodle, and relevant Cogito tools, and selects the appropriate source for detailed clinical analysis versus standardized reporting.
• Distinguishes ordered, scheduled, resulted, documented, billed, and completed activities so measures reflect the intended clinical event and workflow.
• Analyzes care across ambulatory, virtual, in‑home, retail, and value‑based primary care settings while accounting for differences in workflow, documentation, population, and data maturity.
• Uses enterprise clinical repository and interoperability data, including appropriately governed FHIR, HL7, CCDA, terminology, and longitudinal clinical information, when required by the analytic question.
• Contributes to analyses linking EHR and claims data and documents differences in attribution, completeness, observability, and follow‑up across sources.
• Collaborates with the Sr. BI Engineer to operationalize validated measures and analytic datasets in governed, automated reporting products.
• Follows patient privacy, research governance, security, access, and minimum‑necessary requirements for clinical data.

Skills

SQL

Python

R

SAS

Statistical programming

Cohort development

Collaboration

Education

Bachelor’s degree or equivalent

Advanced training in biostatistics/epidemiology/health services research

Tools

Tableau

Power BI

Epic Clarity

Caboodle

Cogito

Reporting Workbench

SlicerDicer

Radar

Job description

CVS Health is seeking a Senior Data Scientist in Clinical Intelligence to translate health data into meaningful performance measures and actionable analyses across multiple care settings. You will contribute to dashboards, cohorts, and analytics that improve quality, access, and population health.

You will collaborate with clinicians, analytics teams, and Epic tools experts to operationalize measures and ensure privacy and governance compliance in all analyses.