Decision Scientist Clinical Informatics (Clinical Data Standards)

Position Summary

CVS Healths 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 Healths 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 themensuring 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

• Bachelors degree in health informatics Public Health Nursing Health Information Management Computer Science Statistics or a related quantitative or clinical fieldor an equivalent combination of formal education and experience.

• Masters 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.