
11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $225k Grant on 2019-08
Healthcare • Consulting • Logistics
DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.
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11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $225k Grant on 2019-08
Healthcare • Consulting • Logistics
DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.
• Lead the engineering organization responsible for building and scaling DeepHealth’s platform and products • Drive technical strategy, architecture decisions, engineering excellence, and the multi-year engineering roadmap • Lead architecture and design decisions for complex distributed systems, ensuring scalability, reliability, and security • Establish engineering standards, processes, best practices, delivery accountability, system uptime, and technical debt management • Partner with Product Management to execute the product roadmap and translate business requirements into engineering plans • Drive agile delivery practices and ensure high-quality releases meeting regulatory and compliance standards • Collaborate with Clinical, Data Science, Design, Product, Operations, Commercial, and executive leadership teams • Establish engineering KPIs and OKRs and communicate technical concepts and trade-offs to stakeholders, executives, and the Board • Drive innovation in tooling, automation, and AI/ML adoption • Recruit, retain, develop, supervise, coach, and evaluate engineering talent across backend, frontend, platform, and data engineering • Define team structures, roles, career ladders, performance frameworks, and onboarding programs • Assign and prioritize workloads, monitor progress, adjust resources, conduct performance reviews, and implement development or improvement plans • Foster technical excellence, accountability, continuous improvement, psychological safety, inclusive collaboration, and conflict resolution • Champion emerging technologies and evaluate build-versus-buy decisions • Contribute to executive leadership strategy, culture, and decision-making
• Bachelor’s degree in engineering or related field required • 12+ years of software engineering experience • 5+ years in engineering leadership roles • Experience ideally in SaaS, health tech, or regulated industries • Proven track record building and scaling distributed software systems and high-performing engineering organizations • Deep expertise in AWS, GCP, or Azure, microservices, APIs, and modern DevOps/CI-CD practices • Ability to work across code, architecture reviews, and executive-level roadmap discussions • Excellent written and verbal communication skills • Strong analytical mindset using engineering metrics, system performance data, and business outcomes • Ability to lead cross-functional teams in fast-paced, ambiguous environments with competing priorities • Excellent program management skills and ability to drive multiple initiatives in parallel • Experience with GitHub, Jira, PagerDuty, Datadog, or similar engineering productivity and observability platforms • Experience working in HIPAA-compliant environments • Familiarity with HL7 and FHIR is a plus • Ability to travel domestically and internationally up to 10% • Compliance with employment laws, DeepHealth policies, data privacy, safety, confidentiality, and universal safety standards • Ability to sit, stand, walk, bend, twist, reach, use hands and fingers, handle or feel, speak, listen, and perform high-level cognitive work • Ability to lift up to 10 pounds occasionally
• Remote work environment • Domestic / international travel up to 10%
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