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Oncologist

$350–$450/h

United States

Role overview

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 oncologists based in the United States with hands-on clinical practice experience. The goal of this project is to identify gaps in AI model reasoning around real-world oncology cases, particularly in 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

3\. Qualifications

You are a strong fit for this project if you meet most or all of the following:

- MD or DO who is currently pursuing or has completed a fellowship in medical oncology or hematology/oncology

- Currently practicing in the United States and seeing oncology patients, or has done so within the past three years (3+ years of post-residency experience strongly preferred)

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

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

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