Decision Scientist – Clinical Informatics, Clinical Data Standards
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Job Description
Clinical informatics scientist activating CVS Health’s clinical data repository. Building standards, feature stores, documentation, and analytics assets for healthcare outcomes and AI/ML.
Responsibilities:
- Serve as a subject matter expert in clinical data, including CCD data
- Build the clinical data feature store with standards, documentation, and best practices
- Develop validated and reusable data assets such as tables, views, and features
- Create and maintain data dictionaries, lineage, business logic, limitations, and use guidelines
- Build queries, dashboards, and data visualizations for data quality metrics, data availability, and clinical insights
- Translate clinical concepts into analytical frameworks
- Support analysts, data scientists, and business partners using clinical data
- Collaborate with data engineering teams on clinical data pipeline development
- Learn and apply data governance practices, HIPAA compliance, privacy regulations, and internal stewardship policies
- Maintain awareness of clinical data standards including HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, and RxNorm
Requirements:
- 2+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
- Familiarity with clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
- Knowledge of clinical coding systems and terminologies, including ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
- Ability to support downstream data consumers through documentation, training, and consultative support
- Proficiency with SQL and large-scale healthcare datasets
- Familiarity with cloud-based data platforms, preferably Google Cloud Platform tools including BigQuery
- Understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
- Excellent written and verbal communication skills
- 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
- Preferred: healthcare data platform experience and interoperability standards such as OMOP, CCDA, and FHIR
- Preferred: familiarity with clinical workflows and HIEs
- Preferred: experience with standardized clinical code systems and common data models such as OMOP
- Preferred: ETL design and implementation from heterogeneous clinical sources
- Preferred: data quality framework experience with tools such as Achilles or DQDB
- Preferred: HIPAA/HITRUST, de-identification/tokenization, PHI handling, and data access controls experience
Benefits:
- Bonus, commission or short-term incentive program in addition to base pay
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
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