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CVS Health

Senior Data Scientist, Clinical Intelligence

CVS Health

. Translate Health Care Delivery EHR, clinical, encounter, and care-delivery data into clinically meaningful performance measures and actionable analyses .

Posted 10/22/2026full-timeRemote • North Carolina • United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in healthcare data science and clinical analytics, with proficiency in SQL and statistical programming languages such as R and Python. Capable of developing actionable performance measures and dashboards while ensuring compliance with patient privacy and governance standards.

Highest-signal resume keywords
SQL ProficiencyClinical Analytics ExperienceEHR Data AnalysisEpic Clarity ExperienceStatistical Programming Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLRPythonSASClinical Data AnalysisDashboard DevelopmentAnalytic FrameworksCohort BuildingPerformance MeasuresPopulation Health Analytics
Soft Skills
CollaborationProblem SolvingDecision MakingDocumentationAnalytic Quality Practices
Tools & Technologies
Epic ClarityCaboodleCogitoTableauPower BISlicerDicerRadarFHIRHL7CCDA
Certifications & Qualifications
Epic CertificationRelevant Professional Qualification
Industry Keywords
Healthcare Data ScienceClinical InformaticsQuality ImprovementPopulation HealthHealth Services ResearchEHR AnalyticsAmbulatory CareValue-Based CareClinical WorkflowsInteroperability

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Translate Health Care Delivery EHR, clinical, encounter, and care-delivery data into clinically meaningful performance measures and actionable analyses
  • Support recurring dashboards and key performance indicators
  • Conduct focused analyses of quality, access, preventive care, care gaps, workflows, outcomes, utilization, and population health
  • Apply SQL, statistical programming, and visualization tools to explore, analyze, and interpret clinical data
  • Develop and maintain analytical frameworks, key metrics, and dashboard content
  • Build and validate cohorts using clinical and operational data elements
  • Work across Epic analytic assets, including Clarity, Caboodle, and relevant Cogito tools
  • Distinguish ordered, scheduled, resulted, documented, billed, and completed activities
  • Analyze care across ambulatory, virtual, in-home, retail, and value-based primary care settings
  • Use governed FHIR, HL7, CCDA, terminology, and longitudinal clinical information as required
  • Contribute to analyses linking EHR and claims data
  • Collaborate with the Sr. BI Engineer to operationalize validated measures and datasets in governed, automated reporting products
  • Follow patient privacy, research governance, security, access, and minimum-necessary requirements

Requirements

What you’ll need
  • 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 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
  • Preferred: Experience with Epic Clarity, Caboodle, Cogito, Reporting Workbench, SlicerDicer, or Radar
  • Preferred: Epic certification or proficiency in an analytics-related area, or ability to complete relevant Epic training
  • Preferred: Experience with ambulatory, primary care, retail health, in-home evaluation, population health, or value-based care analytics
  • Preferred: Familiarity with FHIR, HL7v2, CCDA, OMOP, SNOMED CT, LOINC, RxNorm, or clinical terminology mapping
  • Preferred: Experience with a clinical data repository, enterprise interoperability platform, or longitudinal patient record
  • Preferred: Experience integrating EHR and claims data or contributing to abstracts, manuscripts, quality-improvement publications, or research collaborations
  • Preferred: Experience with Tableau, Power BI, Strategy, or Epic-native reporting tools
  • Bachelor's degree or equivalent specialized training or relevant professional qualification preferred
  • Advanced training in biostatistics, epidemiology, health services research, public health, data science, economics, informatics, statistics, or a related quantitative field is desirable

Benefits

Comp & perks
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Other resources supporting physical, emotional, and financial well-being
  • CVS Health bonus, commission or short-term incentive program eligibility