Description
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
-
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
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Interested in this position?
Apply directly on the company's website