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CVS Health Logo CVS Health · IT - Software Development

Senior Data Scientist - Clinical Informatics (Analytics Enablement)

United States, New York 101970.00 - 203940.00 USD / Year · Job Posted April 24, 2026
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Job Description

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 Responsibility

  • Serve as a subject matter expert in clinical data
  • Design and maintain clinical data models, taxonomies, and classification frameworks
  • Build the clinical data feature store
  • Develop analytics by building well-documented, validated, and reusable data assets
  • Create and maintain comprehensive data documentation
  • Build queries, dashboards, and data visualizations
  • Partner with clinical, operational, and business stakeholders
  • Maintain data quality frameworks for clinical data
  • Translate clinical concepts into analytical frameworks
  • Collaborate with data engineering teams
  • Contribute to data governance initiatives
  • Develop and deliver training, presentations, and consultations
  • Stay current with clinical data standards

Requirements

  • 4+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
  • Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences

Nice to have

  • Proven experience integrating clinical (CCD/OMOP/FHIR) and administrative (claims) data into unified, patient-centric data models
  • Experience with patient data normalization & standardization for patient attributes and cross source harmonization
  • Hands-on experience reconciling clinical and claims data, including diagnosis alignment, medication reconciliation (prescribed vs. dispensed), and encounter/visit matching
  • Experience integrating third-party and enrichment data sources, including SDOH indices (ADI, SVI), consumer/demographic data, mortality data, and provider reference data into patient-level datasets
  • Expert knowledge of clinical and administrative coding systems, including ICD-10-CM/PCS, CPT/HCPCS, SNOMED-CT, RxNorm, NDC, LOINC, and NPI
  • Experience with classification and grouping systems such as HCC, CCS, DRG, and therapeutic class hierarchies
  • Experience designing patient-centric data models, feature stores, and dashboards that aggregate longitudinal data across sources
  • Proven ability to enable downstream data consumers through analytics and well-documented, validated, and reusable data assets
  • Understanding of healthcare business contexts such as care management, value-based care, quality measurement (HEDIS, Stars), and population health

What we offer

  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Bonus, commission or short-term incentive program
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