Oncologist

HumanitApp; United States; À distance; USD 482 000 - 620 000; Plein temps

Résumé du poste

Mercor is seeking experienced oncologists in the United States to contribute to AI research by creating realistic oncology tasks and evaluating AI-generated clinical reasoning. This remote, short-term project offers high impact and potential extension based on performance.

Applicants should be MD/DO, fellowship-trained in medical oncology or hematology/oncology, currently practicing in the United States, and able to articulate clinical reasoning in written form.

Qualifications

• 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.

Responsabilités

• 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

Connaissances

Written communication

Formation

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

Description du poste

Future projects, not immediate vacancies. Check each network's country and experience requirements.

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.

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

Qualifications

• 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

Mercor eligibility fields: Required residence locations: United States.

Compensation context

The listing states $350 - $450 / hour. Confirm the final rate, workload, and payment terms during the official application process.

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