[Hiring] Senior Data Scientist - Clinical Informatics @CVS Health

Role Description

CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses.

The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S.

As a Senior Data Scientist - Clinical Informatics (Analytics Enablement), you are tasked with activating CVS Health's clinical data repository to improve outcomes across multiple lines of business and use cases. You will serve as a bridge between clinical data assets and the analysts, data scientists, and business partners who consume them—ensuring data is accessible, well-documented, fit for purpose, and aligned with clinical and regulatory standards.

• Serve as a subject matter expert in clinical data, including CCD data, claims, pharmacy, lab results, and clinical documentation.
• Design and maintain clinical data models, taxonomies, and classification frameworks.
• Build the clinical data feature store, establishing standards, documentation, and best practices.
• Develop analytics by building well-documented, validated, and reusable data assets.
• Create and maintain comprehensive data documentation, including data dictionaries and lineage.
• Build queries, dashboards, and data visualizations to communicate data quality metrics and insights.
• Partner with clinical, operational, and business stakeholders to understand their data needs.
• Maintain data quality frameworks for clinical data, including validation rules and monitoring processes.
• Translate clinical concepts into analytical frameworks.
• Collaborate with data engineering teams to inform data pipeline development.
• Contribute to data governance initiatives, including compliance with HIPAA and data privacy regulations.
• Develop and deliver training, presentations, and consultations on clinical data assets.
• Stay current with clinical data standards (HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm).

Qualifications

• 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, medical claims, pharmacy data, 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 through documentation, training, and consultative support.
• Expert with SQL and proficient with Python, and experience working with large-scale healthcare datasets.
• Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery.
• 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.

Requirements

• 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 and medication reconciliation.
• Experience integrating third-party and enrichment data sources into patient-level datasets.
• Expert knowledge of clinical and administrative coding systems.
• 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.
• Proven ability to enable downstream data consumers through analytics and well-documented data assets.
• Understanding of healthcare business contexts such as care management and population health.

Education

• Bachelor’s degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical field.
• Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, or a related field is strongly preferred.
• Clinical background (RN, PharmD, MD, or similar) with transition into informatics/analytics is highly valued.

Benefits

• Comprehensive medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources.