Oncologists

1. Role Overview

Mercor is collaborating with a leading AI research lab on a project to advance frontier medical problem-solving in oncology. We are looking for actively practicing oncologists based in the United States with hands-on experience in clinical trials. The goal of this project is to identify gaps in AI model reasoning around real-world oncology cases — particularly in the context of clinical trial design, patient eligibility, and treatment decision-making — and to support the training of cutting-edge AI models.

This is a short-term, high-impact, remote opportunity for oncologists excited about applying their clinical expertise to frontier AI research, with the possibility of extension based on performance.

2. Key Responsibilities

• Create realistic, nuanced oncology tasks and scenarios — particularly around clinical trials — that expose weaknesses in frontier AI model responses

• Evaluate AI-generated clinical reasoning for accuracy, completeness, and alignment with current standard-of-care guidelines

• Identify flawed logic, missed diagnoses, incomplete treatment rationale, or unsafe recommendations in model outputs

• Provide clear, well-structured expert responses and chain-of-thought reasoning that reflect real clinical decision-making

• Maintain high standards of clinical rigor and accuracy throughout all contributions

3. Required Qualifications

You are a strong fit for this project if you meet the following:

• MD or DO with a completed oncology fellowship (medical, surgical, or radiation oncology)

• Currently practicing in the United States

• Active involvement in or direct experience with oncology clinical trials (as a PI, sub-investigator, or treating physician)

Other qualifications:

• Deep familiarity with clinical trial protocols, eligibility criteria, and regulatory considerations (e.g., IRB, FDA, RECIST criteria)

• Ability to articulate clinical reasoning clearly and precisely in written form

• Strong attention to detail in evaluating the accuracy and safety of AI-generated medical content