Job Description

This role offers a unique opportunity for fellowship-trained cardiologists to contribute to groundbreaking research at a leading AI lab. You will focus on evaluating the capabilities of large language models in interpreting advanced, real-world ECG/EKG cases, making a significant impact in the intersection of cardiology and artificial intelligence. Key Responsibilities

• 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 reasoning.

• 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 skills.

• Fellowship 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 recognition.

• You will complete a short interview (approximately 20–30 minutes total).
• The interview will explore your clinical background and subspecialty expertise.

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