Note: The job is a remote job and is open to candidates in USA. CVS Health is a company dedicated to transforming healthcare experiences. As a Lead Data Scientist in Clinical Informatics, you will activate CVS Health's clinical data repository to enhance outcomes across various business lines, ensuring data accessibility and compliance with clinical standards.
Responsibilities
- Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
- Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
- Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
- Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
- Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
- Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
- Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
- Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
- Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
- Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data
- Collaborate with data engineering teams to inform data pipeline development, ensuring clinical data is ingested, transformed, and stored in ways that support downstream analytics needs
- Contribute to data governance initiatives, including compliance with HIPAA, data privacy regulations, and internal data stewardship policies
- Develop and deliver training, presentations, and consultations to existing and prospective data consumers on clinical data assets, appropriate use, and analytics opportunities
- Stay current with clinical data standards (HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm) and industry best practices in clinical informatics
Skills
- 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
- Deep 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
- Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
- 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
- Ability to anticipate and resolve roadblocks throughout a project lifecycle, balancing competing priorities across multiple stakeholders
- Healthcare data platform experience with strong understanding of interoperability standards and harmonization at scale (OMOP/CCDA/FHIR)
- Familiarity with clinical workflows and HIEs
- Experience using standardized clinical code systems (e.g., ICD-10, SNOMED CT, LOINC, RxNorm, UMLS) and their application within common data models (e.g., OMOP)
- Experience in ETL design & implementation from heterogeneous clinical sources into different data standards preferably into the OMOP CDM
- Experience designing and implementing data quality frameworks, preferred to have experience with tools like Achilles, Data Quality Dashboard (DQDB), or equivalent custom frameworks
- Privacy, security, and compliance: HIPAA/HITRUST experience, de-identification/tokenization, PHI handling, and data access controls (column-level, row-level security)
Benefits
- Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
- Award target in the company’s equity award program
- Comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility
Company Overview
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