• As a subject matter expert contribute to the development and refinement of annotation protocols and clinical guidelines for different use cases • Identify edge cases, ambiguities, and potential sources of bias in clinical data and model behavior • Participate in applied clinical AI research, including hypothesis development and evaluation of model performance • Assist in generating research insights that may inform internal studies, publications, or regulatory documentation • Perform reviews of nuclear medicine imaging exams and provide clinical insight and annotations to support AI model training and refinement • Validate AI outputs for clinical accuracy, safety, and relevance across defined use cases • Review model errors and edge cases; provide structured clinical insights to improve performance • Advise on clinically meaningful metrics, thresholds, and evaluation criteria • Provide concise, actionable clinical feedback on product features and workflows • Advise product teams on feature prioritization based on clinical impact, risk, and feasibility • Support retrospective and prospective analyses to assess clinical validity and real-world utility of AI models • Evaluate usability and workflow integration from a clinician’s perspective • Collaborate asynchronously with clinical, product, and data science teams