
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.
🔥 15 hours ago
🏄 California, North Carolina, +1 more states – Remote
💵 $119k - $179k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🦅 H1B Visa Sponsor
👻 Ghost score 2%
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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.
• Architect FHIR-compliant data models aligned with implementation guides, profiles, and internal architectural standards. • Design and operationalize data harmonization and enrichment strategies across EHR, HIE, and claims data sources. • Serve as the subject matter expert for clinical ontologies including SNOMED CT, LOINC, ICD-10, and RxNorm. • Define and maintain custom value sets for specialized clinical use cases. • Establish validation frameworks and automated rules for clinical accuracy, consistency, and longitudinal data integrity. • Develop documentation communicating data design requirements to engineering teams and stakeholders. • Support patient care and research efforts through accurate and usable clinical data.
• Bachelor’s Degree in Computer Science, Information Systems, or a closely related technical degree. • Professional Certificate or Master’s Degree in Clinical Informatics or equivalent professional experience in a clinical informatics role. • Minimum of 5 years experience working in clinical informatics or data integration in Healthcare or Life Sciences industries • Demonstrated proficiency in HL7 v2, FHIR, CDA/CCD-A, NCPDP, FHIR R4/R5, and OMOP. • Advanced proficiency in Python and SQL. • Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. • Preferred: Hands-on experience with dbt, Jupyter Notebooks, and healthcare data integration. • Preferred: Excellent communication and interpersonal skills. • Preferred: Ability to work independently and as part of a team.
• Bonus • Equity • Benefits
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