Oncologist

Parailabs; United States; Remote; USD 165,000 - 344,000; Part time

Job summary

Mercor is engaging a United States-based oncologist to craft realistic oncology task scenarios for frontier AI research. This remote role focuses on testing AI reasoning in clinical trials, eligibility criteria, and treatment decisions, aiming to identify gaps and guide model training.

Ideal candidates maintain current US clinical practice, possess fellowship-level oncology training, and can articulate nuanced clinical reasoning in writing for high-impact AI research projects.

Qualifications

• MD or DO with active medical license in the United States.
• minimum 3+ years post-residency experience in oncology is strongly preferred.
• Ability to articulate clinical reasoning clearly in written form.

Responsibilities

• Create realistic oncology tasks and scenarios focused on clinical trials and patient eligibility.
• Evaluate AI-generated oncologic reasoning for accuracy and alignment with standard-of-care guidelines.
• Identify flawed logic, missed diagnoses, or unsafe recommendations in model outputs.
• Provide clear, structured expert responses reflecting real clinical decision-making.

Skills

Clinical practice

Written communication

Education

MD/DO

Fellowship in medical oncology/hematology-oncology

Job description

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