Sr Data Scientist, Clinical Intelligence

CVS Health; EE. UU.; A distancia; USD 83.000 - 204.000; Jornada completa

Descripción de la vacante

CVS Health is seeking a Senior Data Scientist in Clinical Intelligence to translate health data into meaningful performance measures and actionable analyses across multiple care settings. You will contribute to dashboards, cohorts, and analytics that improve quality, access, and population health.

You will collaborate with clinicians, analytics teams, and Epic tools experts to operationalize measures and ensure privacy and governance compliance in all analyses.

Formación

• 2 to 4 years of healthcare data science experience.
• 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.
• Ability to collaborate with clinicians, informaticists, engineers, operations leaders, and business stakeholders.

Responsabilidades

• 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.

Conocimientos

SQL

Python

R

SAS

Statistical programming

Cohort development

Collaboration

Educación

Bachelor’s degree or equivalent

Advanced training in biostatistics/epidemiology/health services research

Herramientas

Tableau

Power BI

Epic Clarity

Caboodle

Cogito

Reporting Workbench

SlicerDicer

Radar

Descripción del empleo

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 ourselvesaccountable 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 quantitative field is desirable.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $203,940.00

This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 11/23/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.