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
hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
