Decision Scientist - Clinical Informatics (Clinical Data Standards)

Summary

CVS Health is a healthcare company whose Analytics & Behavior Change team uses advanced analytics, clinical informatics, and AI to improve health outcomes and access to care. The Decision Scientist will activate clinical data repositories, build standardized and reusable clinical data assets, document datasets, support analytics consumers, and ensure alignment with clinical, regulatory, governance, and data quality standards.

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

• 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
• 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
• 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)
• 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

Qualifications

Must Haves

• 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
• 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

Nice to Haves

• 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)
• 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

• This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
• 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.
• Medical coverage, based on eligibility.
• Dental coverage, based on eligibility.
• Vision coverage, based on eligibility.
• Paid time off, based on eligibility.
• Retirement savings options, based on eligibility.
• Wellness programs, based on eligibility.
• Other resources, based on eligibility.
• Remote work arrangement.