Mercor

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 skills

Strongly Preferred

• 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

Here 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 reasoning

Screening Process:

• You will complete a short interview (approximately 20–30 minutes total)

• The interview will explore your clinical background and subspecialty expertise