Mercor is seeking
- fellowship-trained cardiologists
- for a project with one of the world's top AI labs.
We welcome applications from cardiologists across all subspecialties, with particular demand for fellowship-trained Electrophysiology and Clinical Cardiology experts. This role focuses on evaluating the ability of large language models to interpret advanced, real-world ECG / EKG cases.
You're a good fit if you :MD or DO from an accredited medical school - Completion of an ACGME-accredited Internal Medicine residency - Completion of a cardiology fellowship (any subspecialty) - Board-certified or board-eligible in Cardiovascular Disease - 2+ years of post-training clinical experience - Currently based in the United States - Exceptional attention to detail - Strong written and verbal communication skillsStrongly PreferredFellowship training in Electrophysiology - Primary clinical practice with significant ECG interpretation volume - Academic or teaching experience (residents, fellows, conferences) - Experience creating case-based assessments, exam questions, or rubrics - Background in complex arrhythmia diagnosis, conduction abnormalities, or subtle ECG pattern recognitionHere are more details about the role :Develop gold-standard ECG interpretations with clear diagnostic reasoning - Emphasize edge cases, nuanced differentials, and complex reasoning in ECG analysis - Collaborate directly with research teams at a leading AI lab - Provide feedback on common failure modes in model reasoningScreening Process :You will complete a short interview (approximately 20–30 minutes total) - The interview will explore your clinical background and subspecialty expertise