Clinical AI Specialist, RN

Qualified Health
Palo Alto, CAPosted 17 April 2026

Job Description

Hybrid - Palo Alto, CA Palo Alto, CA; Travel required Transform healthcare with us. At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring working alongside leading health systems to drive real change. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare. Job Summary The Clinical AI Specialist, RN is a new kind of nursing role, one that sits at the intersection of clinical expertise, artificial intelligence, and health system transformation. You will become the foremost expert on Qualified Health's AI-powered clinical tools, using them to help leading health systems identify and close gaps in patient care that would otherwise go unaddressed. In this role, you'll be credentialed and embedded at partner health systems, working directly alongside their clinical teams while representing Qualified Health. You'll use AI-driven insights to ensure patients get the care they need across cardiology, vascular, preventive screening, and beyond. You'll also serve as a critical bridge between our product team and the clinical frontlines: shaping how our tools evolve, training nurses and staff at partner sites, and helping build the playbook for how AI-powered clinical operations actually work in practice. This is not a traditional nursing job, and it's not a desk job. It's a high-autonomy, high-impact role where your clinical judgment, people skills, and comfort with technology will directly determine how many patients receive better care. This role reports to Clinical Operations Leadership. The ideal candidate is a resourceful, tech-forward nurse who builds strong relationships effortlessly and is energized by doing something that hasn't been done before. This is a ground-floor opportunity to help define a new role in healthcare and grow into leading a team as we scale. Key Responsibilities Clinical Operations Care Gap Closure Become the expert at using our Qualified Health AI tools to review AI-identified care gaps and the supporting clinical data for each patient Place orders in Epic for labs, imaging, referrals, and follow-up appointments based on clinical guidelines and platform recommendations, routing them to treating physicians for co-signature Conduct patient outreach by phone to notify patients about needed care, answer clinical questions, and coordinate next steps, including sensitive first-touch conversations about procedures like ICDs, ablations, and specialist referrals Write telephone encounter notes and in-basket messages in Epic documenting all clinical communication and care coordination activities Schedule patients for necessary appointments, procedures, and consults across departments Manage care gaps spanning multiple clinical domains including heart failure GDMT optimization, structural heart referrals, arrhythmia management, vascular disease, and cancer screenings Health System Integration Relationship Building Build and maintain strong working relationships with physicians, nurses, care coordinators, and administrative staff at partner health systems Serve as the trusted clinical presence representing Qualified Health on-site, earning buy-in and collaboration from health system teams Navigate health system workflows, culture, and politics with professionalism and warmth to drive adoption of new care processes Champion change management as new AI-driven workflows are introduced, helping clinical teams understand the value and ease of participation Platform Product Development Serve as a power user of the Care Gap Optimizer platform, developing deep expertise in its capabilities and providin ... (truncated, view full listing at source)
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