Clinical Data Architect

Verily•US - Texas Remote, TX

33d•$119,500 - $179,000

About The Position

Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise. We are seeking a highly motivated and detail-oriented Clinical Informaticist with expertise in HL7 FHIR. The ideal candidate will have in-depth knowledge of healthcare data, and industry standards, with a focus on Integrating, enriching, and harmonizing clinical data. This role will participate in ensuring the accuracy and usability of data across our organization, ultimately supporting various patient care and research efforts.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
5+ years of professional experience in healthcare data architecture or clinical informatics within the Healthcare or Life Sciences sectors.
Experience with healthcare data models and interoperability standards, including OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
Advanced proficiency in Python and SQL, with hands-on experience in healthcare data integration.

Nice To Haves

Master’s degree or professional certificate in Clinical Informatics, PharmD, or comparable hands-on clinical informatics experience.
Hands-on experience with dbt and Jupyter Notebooks.
Experience designing or implementing healthcare data architecture and integration solutions.
Strong interpersonal and communication skills.
Demonstrated ability to work independently and collaboratively in a team environment.

Responsibilities

Architect FHIR-compliant data models, ensuring all instantiated resources align with specific implementation guides (IGs), profiles, and internal architectural standards.
Design and operationalize complex data harmonization and enrichment strategies to unify disparate data streams from EHRs, HIEs, and claims sources.
Design, develop, and maintain scalable FHIR-to-OMOP transformation pipelines, using dbt and SQL.
Standardize healthcare data using established clinical terminologies and ontologies such as SNOMED CT, LOINC, ICD-10, and RxNorm, as well as design and manage custom value sets to support unique clinical scenarios.
Establish rigorous validation frameworks and algorithms 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 cross-functional teams and stakeholders with varying levels of technical expertise.