Medical Oncologist - Fully Remote

Mercor; San Francisco (CA); Remoto; USD 207.000 - 344.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work option

Descrizione del lavoro

Mercor is partnering with a leading AI research lab to engage United States-based oncologists in a short-term, remote project. You will help advance AI reasoning in oncology by crafting nuanced clinical trial scenarios and judging AI outputs with real-world clinical standards.

Ideal candidates are MDs or DOs with active oncology practice or recent fellowship completion, capable of precise written clinical reasoning and who can work independently in a remote setting.

Competenze

• MD or DO currently pursuing or completed fellowship in medical oncology or hematology/oncology.
• 3+ years of post-residency oncology practice preferred.

Mansioni

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

Conoscenze

Clinical reasoning

Written communication

Medical oncology knowledge

Formazione

MD or DO

Fellowship in medical oncology or hematology/oncology

Strumenti

EMR systems

Descrizione del lavoro

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