Cardiologist – Clinical Consultant (ATTR Cardiac Amyloidosis) (Train AI Models Part Time!)
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## About the Role An AI healthcare company that automates administrative and pharmacy workflows to help patients access life-changing medications and specialty treatments is seeking an experienced Cardiologist 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 and evidence-based reasoning. ## What You’ll Do - Review patient charts and assess the likelihood of ATTR cardiac amyloidosis, including cases with incomplete information. - Document clinical reasoning using specific, evidence-based criteria; distinguish ATTR from similar conditions and communicate uncertainty. - Apply consistent labeling standards and refine assessments based on new evidence and AI model feedback. - Explain clinical decisions clearly to engineers and data scientists and complete labeling batches within agreed timelines. ## Who Should Apply - MD or DO with completed Internal Medicine residency and Cardiology fellowship. - Currently practicing Cardiologist with **2+ years of post-fellowship experience**. - Hands-on experience working up and managing patients with suspected or confirmed **ATTR cardiomyopathy**, including ordering and interpreting PYP scans. - Strong preference for Heart Failure or Transplant Cardiologists with advanced heart failure experience, or specialists in amyloidosis or cardiomyopathies. - Able to commit **10–20 hours per week** and translate complex clinical judgments into clear, structured criteria. **Preferred:** Experience at amyloidosis center of excellence or cardiomyopathy clinic; publications on ATTR cardiomyopathy screening, epidemiology, or diagnostic pathways; or previous work with AI/ML teams, clinical decision-support systems, or clinical chart labeling. ## Project Details - **Engagement:** Part-time consulting with a commitment of 10–20 hours per week. - **Required Role:** US-based clinicians only. - **Focus:** Patient chart annotation, clinical reasoning, and AI model improvement.
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