Senior Data Scientist – Clinical Informatics (Analytics Enablement)

Role Overview

As a Senior Data Scientist – Clinical Informatics (Analytics Enablement), you will be 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.

What You Will Do

You will design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization. You will also build 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.

Why It Might Be a Fit

You will 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. You will also contribute to data governance initiatives, including compliance with HIPAA, data privacy regulations, and internal data stewardship policies.

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

Benefits

• medical
• dental
• vision coverage
• paid time off
• retirement savings options
• wellness programs
• other resources