Oncologist

Mercor; United States; On-site; USD 100,000 - 167,000; Full time

Job summary

Mercor is partnering with a leading AI research lab to advance frontier oncology problem-solving in oncology through clinical trials and AI model training. We seek actively practicing US oncologists with hands-on trial experience to help train and validate AI models remotely.

This short-term, high-impact opportunity emphasizes designing realistic oncology scenarios, evaluating AI-driven reasoning for accuracy against current guidelines, and ensuring safe recommendations.

Qualifications

• MD or DO with completed fellowship in medical oncology or hematology/oncology
• Active, unrestricted US medical license
• Currently practicing in the United States and seeing oncology patients
• 3+ years of post-fellowship experience in your current role strongly preferred
• Active involvement in or direct experience with oncology clinical trials (as PI, sub-investigator, or treating physician)
• Not in scope for this project: radiation oncology, surgical oncology, oncology no in clinical practice.
• Deep familiarity with clinical trial protocols, eligibility criteria, and regulatorB, 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 me

Responsibilities

• Create realistic, nuanced oncology tasks and scenarios around clinical trials to 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 reflecting real clinical decision-making
• Maintain high standards of clinical rigor and accuracy throughout all contributions

Skills

Clinical trial experience

Oncology specialization

Written clinical reasoning

Education

MD or DO with fellowship in medical oncology/hematology-oncology

Active unrestricted US medical license

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 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 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.

1. 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

1. Required Qualifications

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

• MD or DO with a completed fellowship in medical oncology or hematology/oncology

• Active, unrestricted US medical license

• Currently practicing in the United States and seeing oncology patients

• 3+ years of post-fellowship experience in your current role strongly preferred

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

Not in scope for this project: radiation oncology, surgical oncology, oncology no in clinical practice.

Other qualifications:

• Deep familiarity with clinical trial protocols, eligibility criteria, and regulatorB, 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 me

1. Application & Onboarding

• Credential verification: license status, fellowship completion, and current practice

• Final roster placement is confirmed with the project team before your start date

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.