An AI healthcare company that automates administrative and pharmacy workflows to help patients access life-changing medications and specialty treatments is seeking an experienced Cardiology Nurse Practitioner (NP), Registered Nurse (RN), or Physician Assistant (PA) for a part-time consulting role. The role focuses on improving an AI model that identifies patients likely to have transthyretin (ATTR) cardiac amyloidosis through clinical chart review, patient case labeling, and evidence-based clinical reasoning.
\nReview patient charts and assess the likelihood of ATTR cardiac amyloidosis, including cases with incomplete information.
\nIdentify relevant clinical signals, including patient history and diagnostic findings such as PYP scans, where applicable.
\nDocument clear, evidence-based reasoning; distinguish ATTR from similar conditions and maintain consistent labeling standards.
\nRefine assessments based on new evidence and AI model feedback, explain clinical decisions to technical teams, and meet labeling deadlines.
\nNP, RN, or PA with 5+ years of cardiology-focused experience, ideally within a cardiology practice or clinic.
\n1–3 years of experience in a Heart Failure or ATTR-specific clinic.
\nHands-on experience evaluating or managing suspected or confirmed ATTR cardiomyopathy, including PYP scans as appropriate to professional scope.
\nStrong clinical judgment and the ability to explain decisions using clear, structured criteria.
\nAble to commit 10–20 hours per week alongside clinical practice.
\nPreferred: Experience at amyloidosis center of excellence or cardiomyopathy clinic; contributions to ATTR-related research or publications; or prior experience with AI/ML teams, clinical decision-support systems, or clinical chart abstraction and labeling.
\nEngagement: Part-time with a commitment of approximately 10–20 hours per week.
\nRequired role: US-based clinicians only
\nFocus: Patient chart annotation, clinical reasoning, and AI model improvement.
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