Decision Scientist - Clinical Informatics (Clinical Data Standards)

CVS Health; Hartford (CT); In loco; USD 65.000 - 159.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus eligible

Short-term incentive program

Descrizione del lavoro

CVS Health is seeking a Decision Scientist - Clinical Informatics to activate the clinical data repository and drive analytics across multiple lines of business. You will build a clinical data feature store, document data assets, and empower analysts and data scientists to work independently with clinical data.

You will collaborate with engineering, governance, and stakeholders to ensure data quality, governance, and compliant data use across healthcare datasets.

Competenze

• 2+ years of clinical informatics, healthcare analytics, or data management.
• Experience with CCD data, lab results, clinical notes and administrative data.
• Knowledge of ICD-10, CPT, SNOMED-CT, LOINC, NDC, RxNorm.
• Ability to document, train and support downstream users.
• Proficiency in SQL and large healthcare datasets.
• Experience with Google Cloud Platform (BigQuery).
• Strong written and verbal communication skills.

Mansioni

• Activate clinical data repository to improve outcomes across business lines.
• Build the clinical data feature store with standards and practices.
• Develop reusable data assets (tables, views, features) for analysts.
• Create data documentation, dictionaries, lineage and use guidelines.
• Build queries, dashboards to communicate data quality and insights.
• Translate clinical concepts into analytical frameworks for partners.
• Collaborate with data engineering to support pipelines.
• Learn data governance, HIPAA, and privacy requirements.
• Stay current with HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm.

Conoscenze

SQL proficiency

Clinical informatics

Healthcare analytics

Data documentation

Cloud platforms

BigQuery

Communication skills

Formazione

Bachelor's degree in health informatics or related field

Master's degree or higher in Health Informatics or related field

Clinical background (RN, PharmD, MD) valued

Strumenti

BigQuery (GCP)

OMOP/CDM knowledge

HL7/FHIR data standards tooling

Descrizione del lavoro

Position Summary

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 SummaryCVS 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:

• 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 Hours40

Time TypeFull time

Pay RangeThe 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 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: 01/01/2027 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.