
51 - 200 employees
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
π° $30M Seed on 2025-02
Healthcare β’ Artificial Intelligence β’ SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
π₯ 20 minutes ago
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51 - 200 employees
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
π° $30M Seed on 2025-02
Healthcare β’ Artificial Intelligence β’ SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
β’ Own the end-to-end data integration for 2β4 health system partners β’ Lead a pod of 2β3 Forward Deployed Engineers β’ Serve as the primary technical relationship owner for your partnersβ data and IT teams β’ Design and build data pipelines that ingest Epic Clarity data β’ Collaborate with the Product, AI Engineering and Data Science teams β’ Drive continuous improvement of integration patterns, tooling, and technical standards.
β’ 7+ years as a data engineer or engineering leader β’ Strong expertise in Epic Clarity/Caboodle data models β’ Proficiency with Databricks (PySpark, Delta Lake), SQL Server, and Azure cloud services β’ Experience with FHIR/HL7 healthcare interoperability standards β’ Executive-level client-facing communication β’ Consultant mindset β’ Data quality obsession β’ Ownership mentality β’ Critical thinking β’ Bachelorβs degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
β’ Comprehensive benefits β’ Flexible working hours β’ Inclusive environment fostering creativity and innovation. β’ Mission-driven work impacting millions of patients.
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