Sr Data Scientist, Clinical Intelligence

CVS Health • Work At Home-North Carolina, NC

1d • $83,430 - $203,940

About The Position

The Sr Data Scientist, Clinical Intelligence supports Medical Affairs by translating Health Care Delivery EHR, clinical, encounter, and care-delivery data into clinically meaningful performance measures and actionable analyses. The role supports work across Oak Street Health, MinuteClinic/Retail Health, Signify Health, and connected enterprise clinical data assets.

This individual-contributor role contributes to recurring dashboards and key performance indicators, as well as focused analyses of quality, access, preventive care, care gaps, workflows, outcomes, utilization, and population health. The position works under the direction of the VP, Data Strategy & Clinical Intelligence and partners with clinicians, Clinical Evidence Development, operations, Epic, interoperability, technology, quality, and analytics teams.

Requirements

• 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.
• Bachelor's degree or equivalent specialized training or relevant professional qualification preferred.

Nice To Haves

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

Responsibilities

• Apply SQL, statistical programming, and visualization tools to explore, analyze, and interpret EHR, encounter, clinical, and care-delivery data.
• Develop and maintain 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.
• Build and validate cohorts using encounters, appointments, orders, results, medications, problem lists, diagnoses, procedures, immunizations, referrals, providers, locations, and clinical documentation.
• Work across approved Epic analytic assets, including Clarity, Caboodle, and relevant Cogito tools, selecting appropriate sources for detailed clinical analysis versus standardized reporting.
• Distinguish ordered, scheduled, resulted, documented, billed, and completed activities so measures reflect the intended clinical event and workflow.
• Analyze care across ambulatory, virtual, in-home, retail, and value-based primary care settings while accounting for differences in workflow, documentation, population, and data maturity.
• Use enterprise clinical repository and interoperability data, including appropriately governed FHIR, HL7, CCDA, terminology, and longitudinal clinical information, when required by the analytic question.
• Contribute to analyses linking EHR and claims data and document differences in attribution, completeness, observability, and follow-up across sources.
• Collaborate with the Sr. BI Engineer to operationalize validated measures and analytic datasets in governed, automated reporting products.
• Follow patient privacy, research governance, security, access, and minimum-necessary requirements for clinical data.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility
• Eligible for a CVS Health bonus, commission, or short-term incentive program in addition to base pay

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level