Practising oncologists write realistic oncology scenarios, especially on clinical trials, and grade AI clinical reasoning against standard of care. Suits US-based MDs or DOs with oncology fellowship training who can write clear case reasoning.
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
Listing from Mercor's job board. Details can change; the platform's page is the final word.
