Clinical Informatics Data Architect

Verily•US - Texas Remote, TX

4d•$102,000 - $154,000

About The Position

Verily Health is seeking a highly motivated and detail-oriented Clinical Informaticist/ Health Data Architect to support the integration, standardization, and management of complex data across multiple sources. The ideal candidate will have experience working with structured health data, industry standards, and data quality practices to ensure data is accurate, consistent, and usable across the organization. This role will collaborate with cross-functional teams to support analytics, operational, and research initiatives.

Requirements

Bachelor’s Degree in a technical field.
Minimum of 3 years experience working in clinical informatics, data integration or data architect in healthcare or life sciences industries.
Demonstrated proficiency in navigating the complexities of interoperability standards and frameworks (such as HL7 v2, FHIR CDA/CCD-A, NCPDP) as well as data models (FHIR R4/R5, OMOP).
Proficiency in Python and SQL.

Nice To Haves

Hands-on experience with dbt , Jupyter Notebooks, and
Master’s degree in a technical field.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

Responsibilities

Architect FHIR-compliant data models, ensuring all instantiated resources align with specific implementation guides (IGs), profiles, and internal architectural standards.
Design and operationalize sophisticated data harmonization and enrichment strategies to unify disparate data streams from EHRs, HIEs, and claims sources.
Design and implement scalable data models and integration solutions that align with organizational standards and industry best practices.
Establish rigorous validation frameworks and automated rules to ensure the clinical accuracy, consistency, and longitudinal integrity of our data assets.
Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise.