Cardiologist (Remote)

Cardiologist (Remote)

Posted Today by Keystone Recruitment

Negotiable
Undetermined
Remote
EMEA

Summary: The role of a Cardiologist (Remote) involves contributing to a project at a leading AI research lab, focusing on evaluating large language models' ability to interpret advanced ECG/EKG cases. Candidates from various cardiology subspecialties are encouraged to apply, particularly those with expertise in Electrophysiology and Clinical Cardiology. The position is fully remote, allowing for flexible scheduling, and requires independent contractor status.

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 AI model reasoning

Key Skills:

  • 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
  • Current residence in the United States
  • Exceptional attention to detail and accuracy
  • 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

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Title: Cardiologist (Remote)

Engagement: Hourly contract (independent contractor)

RATE: USD 300-400/Hour

Location: Remote – candidates based in the United States, United Kingdom, Canada, Europe, Singapore, Dubai, or Australia who are legally able to work as independent contractors in their jurisdiction.

Job Overview

One of our clients, a leading AI research lab, is seeking fellowship-trained cardiologists to contribute to a project evaluating the ability of large language models to interpret advanced, real-world ECG/EKG cases. Cardiologists across all subspecialties are encouraged to apply, with particular interest in experts in Electrophysiology and Clinical Cardiology.

Qualifications

You’re a good fit if you have:

  • 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
  • Current residence in the United States
  • Exceptional attention to detail and accuracy
  • 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

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 AI model reasoning

Screening Process

Short interview (~20–30 minutes)

Discussion of your clinical background and subspecialty expertise

Reasonable accommodations are provided upon request

Contract and Payment Terms

Engagement as an independent contractor

Fully remote role, with flexible scheduling

Projects may be extended, shortened, or concluded early depending on needs and performance

Work does not involve access to confidential or proprietary information from any employer, client, or institution

Payments are weekly via Stripe or Wise based on hours worked

H1-B or STEM OPT candidates cannot be supported at this time

APPLY NOW !