Clinical Intelligence Data Scientist - Healthcare Analytics

CVS Health; Georgia; Híbrido; USD 83.000 - 204.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental coverage

Vision coverage

Retirement plan

Paid time off

Descripción de la vacante

CVS Health in Georgia seeks a Senior Data Scientist, Clinical Intelligence, to translate EHR and care-delivery data into meaningful performance measures.

The role supports Medical Affairs and collaborations across Oak Street Health, MinuteClinic/Retail Health, Signify Health, and enterprise data assets. You will build cohorts, dashboards, and validated measures, while ensuring privacy and governance.

Formación

• 2 to 4 years of relevant experience in healthcare data science, clinical analytics, EHR analytics, clinical informatics, quality improvement, population health, health services research, or a related field.
• 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.
• Working knowledge of problem solving and decision making, with strong documentation and analytic-quality practices.
• Ability to collaborate with clinicians, informaticists, engineers, operations leaders, and business stakeholders.

Responsabilidades

• 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.

Conocimientos

SQL

Python

R

SAS

Clinical analytics

Cohort analysis

Cross-functional collaboration

Documentation

Educación

Bachelor's degree

Biostatistics / Epidemiology

Herramientas

Epic Clarity

Caboodle

Cogito

SlicerDicer

Radar

Tableau

Power BI

Descripción del empleo

CVS Health in Georgia seeks a Senior Data Scientist, Clinical Intelligence, to translate EHR and care-delivery data into meaningful performance measures.

The role supports Medical Affairs and collaborations across Oak Street Health, MinuteClinic/Retail Health, Signify Health, and enterprise data assets. You will build cohorts, dashboards, and validated measures, while ensuring privacy and governance.