Clinical Data Architect

🕒 October 7

🇺🇸 United States – Remote

💵 $119.5k - $179k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Verily

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Consulting • Healthcare • Artificial Intelligence

Verily is an AI-native precision health platform that develops and deploys clinical and research-focused software and AI models to make healthcare more predictive, preventive, and precise. Its offerings include consumer-facing tools like Verily Me for personalized health guidance and clinician support, care solutions that personalize member engagement and goal-setting, and research products that curate and standardize multimodal clinical and real-world data (FHIR-native) to accelerate trials and insights. The company emphasizes clinical and regulatory safety in building AI for care and research workflows.

📋 Description

• Architect FHIR-compliant data models aligned with implementation guides, profiles, and internal architectural standards • Design and operationalize data harmonization and enrichment strategies for EHR, HIE, and claims data • Design, develop, and maintain scalable FHIR-to-OMOP transformation pipelines using dbt and SQL • Standardize healthcare data using SNOMED CT, LOINC, ICD-10, and RxNorm • Design and manage custom clinical value sets • Establish validation frameworks and algorithms for clinical accuracy, consistency, and longitudinal data integrity • Develop documentation communicating data design requirements to cross-functional teams and stakeholders • Support patient care and research efforts through accurate and usable clinical data

🎯 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 • 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 • Must not require employer sponsored work authorization now or in the future for employment in the United States

🏖️ Benefits

• Bonus • Equity • Benefits