I've searched for Clinical SME positions centered on AI validation in Austin, TX, requiring full-time availability. I found 12 relevant roles that specifically ask for healthcare delivery and utilization management experience, and they all require a clinical degree. You can explore these positions now.

Sure. Here's the analysis:

Job Analysis:

The Clinical SME - AI Validation role at Autonomize AI fundamentally seeks to bridge clinical expertise with AI product execution, ensuring that AI-driven solutions align with real-world clinical workflows and regulatory standards. The primary responsibilities include leading the clinical validation of AI outputs, which requires a deep understanding of care management and utilization review processes, while also pinpointing edge cases and potential biases. Success in this role is characterized by the ability to design scalable validation frameworks that meet CMS and NCQA guidelines, effectively collaborate across teams, and facilitate seamless adoption of AI technologies in patient care settings. Candidates will likely confront challenges such as navigating ambiguous clinical scenarios, ensuring that AI systems gather accurate data that meet the specific needs of healthcare practitioners and patients alike, and swiftly resolving any discrepancies encountered during the validation process. Overall, establishing trust and demonstrating clinical value through actionable insights from customer interactions are crucial elements for thriving in this function.

Company Analysis:

Autonomize AI occupies a pivotal space in the healthcare technology sector, positioned as a transformative player aiming to optimize workflows through AI. The company is not just reacting to healthcare trends but is proactively setting the stage for a future where administrative burdens are significantly reduced for healthcare professionals. From the analysis, it's clear that the company values speed and innovation, as reflected in its commitment to rapidly iterate and refine its products, which is essential in the dynamic realm of healthcare. Given this culture, the Clinical SME - AI Validation role requires an individual who not only delivers swiftly but also champions collaboration—acting as a liaison between technical teams and healthcare practitioners. The strategic alignment with company goals is apparent; this role is integral to enhancing AI product adoption, ultimately helping to improve patient outcomes and operational efficiencies. In a scaling startup environment, this role also offers visibility to senior leadership, making a successful candidate influential in guiding the organization towards tapping into new growth opportunities.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to bridge the gap between technical and clinical teams. How did you ensure effective communication and alignment?
• Can you describe an experience where you identified an edge case or logic issue in clinical workflows? What steps did you take to resolve it?
• How do you prioritize tasks when faced with multiple urgent clinical validation requests from different teams?
• Describe a situation where you had to adapt to rapid changes in a project. How did you manage that transition?
• How would you approach validating the AI outputs related to prior authorization processes in a real clinical setting?
• What methodology would you use to design a validation framework that aligns with both operational needs and regulatory standards like CMS and NCQA?
• Imagine you are faced with a situation where a newly implemented AI tool hasn't achieved expected outcomes in a pilot program. How would you investigate and address the issue?
• If a clinician raises concerns about potential biases in AI outputs, how would you approach the validation process to ensure their concerns are taken seriously?
• Why are you interested in working at Autonomize AI specifically, and how do you believe your background supports our mission?
• How do your experiences align with our goal to reduce administrative burdens for healthcare knowledge workers?
• What do you see as the most significant challenge for healthcare organizations in adopting AI solutions like those offered by Autonomize?
• Given the current healthcare landscape, what innovations in AI do you think will have the most substantial impact on patient care in the near future?
• What questions do you have for us about the role and the direction Autonomize AI is heading in the healthcare industry?
• Can you elaborate on your familiarity with EHR systems and how you think they integrate with AI workflows?
• How do you envision contributing to the growth and success of the AI copilots at Autonomize?