Decision Scientist - Clinical Informatics (Clinical Data Standards)

CVS Health; Tennessee; Hybrid; USD 65,000 - 159,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Paid time off

Retirement plan

Wellness programs

Job summary

CVS Health is seeking a Decision Scientist - Clinical Informatics to activate the clinical data repository and enable analysts and data scientists to derive actionable insights. You will bridge clinical data assets with stakeholders, ensuring accessibility, documentation, and compliance with clinical standards.

You will build a scalable data feature store, document data lineage and business logic, and collaborate with data engineers to support downstream analytics and AI/ML use cases.

Qualifications

• 2+ years in clinical informatics or healthcare analytics.
• Familiar with CCD data, lab results, clinical notes, and administrative healthcare data.
• Knowledge of 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 with large-scale healthcare datasets.
• Familiar using cloud-based data platforms, preferably Google Cloud Platform tools including BigQuery.
• Understanding of data quality principles, validation, profiling, and monitoring.

Responsibilities

• Become a subject matter expert in clinical data, including CCD data.
• Build the clinical data feature store with standards, documentation, and best practices.
• Develop analytics by creating well-documented, validated data assets for analysts and data scientists.
• Create and maintain data documentation, including data dictionaries, lineage, and business logic.
• Build queries, dashboards, and visualizations to communicate data quality and insights.
• Translate clinical concepts into analytical frameworks for business partners.
• Collaborate with data engineering teams to support data pipelines.
• Learn data governance practices including HIPAA compliance and data stewardship.
• Stay current with HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm standards.

Skills

SQL

BigQuery

GCP

CCD data

Clinical data standards

Data governance

Data quality

Communication

HIPAA/HITRUST

Education

Bachelor's in health informatics/related

Master's in Health Informatics/related (preferred)

Clinical background (RN/PharmD/MD) valued

Tools

BigQuery

GCP

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.

Position Summary

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. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers.

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 Decision Scientist - Clinical Informatics (Clinical Data Standards), 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.

You will:

• 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.

Required 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, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.
• Ability to 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.
• Familiar using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data.
• 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.

Preferred Qualifications

• 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).

Education

• Bachelor's degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical field-or an equivalent combination of formal education and experience.
• 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.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $158,620.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.