Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
May 23, 2026
Full Job Description
đź“‹ Description
- • Manage end-to-end implementation of RapidAI’s clinical AI platform across 2,500+ hospitals globally, ensuring seamless integration into hospital imaging workflows.
- • Conduct initial site kickoffs with hospital radiology, IT, and clinical teams to align on implementation goals, timelines, and success metrics.
- • Configure and validate scanner protocols for CT, MRI, and other imaging modalities to ensure accurate AI algorithm performance in clinical environments.
- • Coach clinical staff through successful "go-live" transitions, providing hands-on training and troubleshooting support to drive adoption and confidence in the platform.
- • Serve as the primary point of contact between RapidAI’s technical teams and hospital stakeholders, translating clinical needs into technical requirements.
- • Independently manage a portfolio of concurrent commercial and research implementations, prioritizing tasks and meeting strict deadlines without direct supervision.
- • Monitor implementation progress using internal tracking systems, identifying risks and escalating issues to ensure on-time delivery and compliance with hospital standards.
- • Collaborate with clinical research teams to support data collection and validation efforts tied to ongoing studies that influence national stroke-treatment guidelines and other clinical protocols.
- • Identify opportunities for account expansion by assessing hospital workflows and recommending additional RapidAI modules or use cases that improve operational efficiency and patient outcomes.
- • Maintain detailed documentation of implementation processes, configuration settings, and user feedback to support knowledge transfer and future deployments.
- • Ensure all implementations adhere to healthcare regulatory standards and hospital-specific policies regarding data privacy, security, and system integration.
- • Participate in regular cross-functional syncs with product, engineering, and clinical teams to relay field insights and contribute to platform improvements.
- • Travel may be required for on-site implementations, though most engagements are conducted remotely with hospital partners in the U.S.
- • Maintain alignment with hospital schedules by working within Central (CT) or Eastern (ET) time zones to facilitate real-time communication and support.
- • Deliver measurable improvements in clinical decision-making speed and diagnostic accuracy through effective software adoption and user enablement.
🎯 Requirements
- • Proven experience in healthcare IT, clinical imaging, or medical device software implementation
- • Demonstrated ability to manage multiple complex projects independently in a fast-paced environment
- • Strong understanding of hospital workflows, particularly in radiology or emergency departments
- • Experience training non-technical clinical staff on software systems
- • Must be located within Central (CT) or Eastern (ET) time zones
- • 6-month contract availability with flexibility to manage a full project load
🏖️ Benefits
- • Direct impact on patient care through life-saving clinical AI deployment
- • High autonomy and ownership over implementation portfolio
- • Fast-paced, dynamic environment with exposure to cutting-edge medical technology
- • Opportunity to contribute to nationally recognized clinical research and guideline development
Skills & Technologies
About RapidAI, Inc.
RapidAI is a leading company in the field of artificial intelligence for healthcare, specifically focusing on stroke care. Their AI platform analyzes medical images, such as CT scans, to rapidly detect and quantify conditions like large vessel occlusions (LVOs) in stroke patients. This technology aims to significantly reduce the time to diagnosis and treatment, improving patient outcomes. By integrating with existing hospital workflows and imaging systems, RapidAI empowers clinicians with faster, more accurate information, enabling quicker decision-making and intervention for time-sensitive conditions like stroke. They operate within the health-tech and medical imaging AI sectors.
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