# Sr Data Scientist, Clinical Intelligence

**Company**: CVS Health
**Location**: Work from home, NC, NC
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $83,430.00 - $203,940.00
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NC---Work-from-home/Sr-Data-Scientist--Clinical-Intelligence_R1053144-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/sr-data-scientist-clinical-intelligence-10cdade6-6d2/

## Description

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

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.

**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 quantitative field is desirable.

**Benefits**

- Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families, including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources.

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## Skills

### Required
- SQL
- R
- Python
- SAS
- EHR analytics
- clinical informatics
- quality improvement
- population health
- health services research

### Nice to have
- Epic Clarity
- Caboodle
- Cogito
- Reporting Workbench
- SlicerDicer
- Radar
- FHIR
- HL7v2
- CCDA
- OMOP
- SNOMED CT
- LOINC
- RxNorm
- Tableau
- Power BI
- Strategy
- Epic-native reporting tools

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Source: [Apply at cvshealth.wd1.myworkdayjobs.com](https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NC---Work-from-home/Sr-Data-Scientist--Clinical-Intelligence_R1053144-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)