Senior Clinical Data Scientist, Health Analytics

CVS Health; Raleigh (NC); On-site; USD 83,000 - 204,000; Full time

Benefits offered by this job

Bonus eligible

Comprehensive benefits

Job summary

CVS Health seeks a Senior Data Scientist, Clinical Intelligence to translate EHR and care-delivery data into clinically meaningful performance measures and actionable insights. This role supports Medical Affairs across Oak Street Health, MinuteClinic/Retail Health, Signify Health, and related clinical data assets.

The successful candidate will develop dashboards, cohorts, and analytic datasets, applying SQL and statistical programming to drive quality and population health initiatives within a

Qualifications

• 2 to 4 years of healthcare data science experience.
• Experience analyzing EHR, encounter, clinical data.
• Proficiency in SQL and R/Python/SAS.
• Experience developing clinical measures and dashboards.
• Understanding of clinical workflows.
• Ability to collaborate with clinicians and stakeholders.

Responsibilities

• Applies SQL, statistical programming, and visualization to analyze EHR, encounter, clinical data.
• Develops analytical frameworks, metrics, and dashboards for clinical quality and preventive care.
• Builds and validates cohorts using encounters, appointments, and clinical data.
• Works with Epic analytic assets (Clarity, Caboodle, Cogito) for detailed analysis and reporting.
• Analyzes care across ambulatory, in-home, and retail settings while considering data maturity.

Skills

SQL

R/Python/SAS

Dashboard development

Cohort analysis

Clinical workflows

Collaboration

Education

Bachelor's degree

Tools

Epic Clarity

Caboodle

Cogito

Reporting Workbench

SlicerDicer

Radar

Job description

CVS Health seeks a Senior Data Scientist, Clinical Intelligence to translate EHR and care-delivery data into clinically meaningful performance measures and actionable insights. This role supports Medical Affairs across Oak Street Health, MinuteClinic/Retail Health, Signify Health, and related clinical data assets.

The successful candidate will develop dashboards, cohorts, and analytic datasets, applying SQL and statistical programming to drive quality and population health initiatives within a