Clinical Data Standards Scientist — Health AI & Analytics

CVS Health; California (MO); Hybrid; USD 65,000 - 159,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Retirement savings options

Paid time off

Job summary

CVS Health’s Analytics & Behavior Change team is expanding the Clinical Data Science & AI group to transform how clinical data is used across CVS Health businesses. As a Decision Scientist - Clinical Informatics, you will activate the clinical data repository and bridge data assets with analysts, data scientists, and business partners.

You will build a data feature store, document data assets, develop reusable analytics, and ensure governance under HIPAA.

Qualifications

• 2+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management.
• Familiar with clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data.
• Knowledge of clinical coding systems and terminologies (ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, RxNorm).
• Ability to support downstream data consumers through documentation, training, and consultative support.
• Proficiency with SQL and experience working with large-scale healthcare datasets.
• Familiar using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery.
• 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 technical and non-technical audiences.

Responsibilities

• Become 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.
• 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.
• Develop 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.
• 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.
• Learn data governance practices, including compliance with HIPAA, data privacy regulations, and internal data stewardship policies.
• Stay current with clinical data standards (HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm) and industry best practices in clinical informatics.

Skills

SQL

GCP BigQuery

Data governance

Data documentation

Communication

Education

Bachelor’s degree in Health Informatics or related field

Master’s degree in Health Informatics or related field

Clinical background (RN, PharmD, MD)

Tools

FHIR

OMOP CDM

Achilles

Data Quality Dashboard

Job description

CVS Health’s Analytics & Behavior Change team is expanding the Clinical Data Science & AI group to transform how clinical data is used across CVS Health businesses. As a Decision Scientist - Clinical Informatics, you will activate the clinical data repository and bridge data assets with analysts, data scientists, and business partners.

You will build a data feature store, document data assets, develop reusable analytics, and ensure governance under HIPAA.