Cardiology AI Clinician Consultant - Part‑Time

Mercor; New York (NY); Remote; USD 62,000 - 110,000; Part time

Job summary

Mercor is seeking a part-time cardiology clinician (NP, RN, or PA) to assist in annotating patient charts for ATTR cardiac amyloidosis. The role focuses on clinical reasoning, labeling accuracy, and interfacing with AI model feedback to improve performance.

Workload is 10–20 hours per week, US-based participation required, with flexible scheduling to accommodate clinical practice. The consultant will review charts, identify signals, and document evidence-based conclusions to distinguish ATTR

Qualifications

• 5+ years of cardiology-focused experience.
• 1–3 years in a Heart Failure or ATTR-specific clinic.
• Hands-on experience evaluating or managing suspected or confirmed ATTR cardiomyopathy, including PYP scans.
• Strong clinical judgment and ability to explain decisions using clear, structured criteria.
• Able to commit 10–20 hours per week alongside clinical practice.

Responsibilities

• Review patient charts and assess the likelihood of ATTR cardiac amyloidosis, including cases with incomplete information.
• Identify relevant clinical signals, including patient history and diagnostic findings such as PYP scans, where applicable.
• Document clear, evidence-based reasoning; distinguish ATTR from similar conditions and maintain consistent labeling standards.
• Refine assessments based on new evidence and AI model feedback, explain clinical decisions to technical teams, and meet labeling deadlines.

Skills

Cardiology experience

Clinical reasoning

PYP scans

Job description

Mercor is seeking a part-time cardiology clinician (NP, RN, or PA) to assist in annotating patient charts for ATTR cardiac amyloidosis. The role focuses on clinical reasoning, labeling accuracy, and interfacing with AI model feedback to improve performance.

Workload is 10–20 hours per week, US-based participation required, with flexible scheduling to accommodate clinical practice. The consultant will review charts, identify signals, and document evidence-based conclusions to distinguish ATTR