Sr Data Scientist, Clinical Intelligence

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Job Description

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 will contribute 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 role 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.

Primary Job Duties & 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.

Minimum 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.

Preferred Qualifications

· 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.

Education

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…