Role Overview Our partner, a leading AI research lab, is collaborating 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 AI models. This is a short-term, high-impact, remote opportunity for oncologists keen to apply their clinical expertise to 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 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 Ideal Qualifications - MD or DO who is currently pursuing or has completed a fellowship in medical oncology or haematology/oncology - Currently practising 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 More Details Remote position based in the United States. Early applicant opportunity. Hourly contract work. Pay and Legal Status $350 to $450 per hour. Screening Process Our partner considers all qualified applicants without regard to legally protected characteristics and provides reasonable accommodations on request.

Oncologist

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