Clinical Informatics Data Architect

🕒 August 1

🏄 California, North Carolina, +2 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $102k - $154k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

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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, 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

🎯 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 • Hands-on experience with dbt , Jupyter Notebooks

🏖️ Benefits

• Flexible working hours • Professional development opportunities