Work closely with technology teams to create, review, and update documents that power our AI models, with a specific focus on clinical content
Perform quality assurance on the output of AI models to ensure the clinical reasoning is accurate and safe
Review and analyze the existing clinical workflow to identify and propose places where AI interventions will improve provider efficiency or enhance patient outcomes
Perform chart reviews, and use insights to develop AI QA tools to automate clinical chart review processes
Collaborate with clinical leadership to understand clinical protocols, processes, and pain points
Leverage analytics to deliver and communicate actionable insights around AI efficiency and outcomes

Clinical degree (e.g., MD, DO, RN, PA, NP, or PharmD) or a strong equivalent background in a healthcare-related field
5+ years of experience working in a clinical setting, understanding established clinical protocols, processes, and pain points
Experience performing clinical chart reviews and a deep understanding of patient care workflows
Knowledge of clinical safety and regulatory requirements in healthcare
Familiarity with the principles of Artificial Intelligence, Machine Learning, and large language models (LLMs)
Demonstrated experience in clinical workflow analysis and process improvement
Proficiency with data analysis tools and methods to leverage analytics for developing actionable insights and evaluating AI efficiency and outcomes
Experience with Quality Assurance (QA) methodologies, specifically as applied to clinical reasoning and data accuracy
Exceptional analytical and problem-solving abilities to ensure accurate and safe clinical reasoning in AI models
Strong collaboration and communication skills, necessary for bridging the gap between clinical leadership and technology teams
A proactive and critical-thinking mindset to identify opportunities for AI interventions that boost provider efficiency and enhance patient outcomes

Clinical AI Specialist

Key skills