
1001 - 5000 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $102k - $154k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
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 • Design and operationalize data harmonization strategies • Establish validation frameworks to ensure data accuracy • Collaborate with cross-functional teams on analytics and research initiatives • Develop documentation for data design 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 • Proficiency in Python and SQL • Demonstrated proficiency in navigating interoperability standards and frameworks (such as HL7 v2, FHIR CDA/CCD-A, NCPDP) and data models (FHIR R4/R5, OMOP) • Must not require employer sponsored work authorization now or in the future for employment in the United States.
• Competitive benefits to support your whole-person well being • Flexible work arrangements • Professional development opportunities
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