Clinical Oncologist (Remote | $350-$450/hr)

Job Description

Oncologist

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Position: Oncologist – AI Medical Evaluation

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Type: Hourly Contract

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Compensation: $350–$450/hour

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Location: Remote — United States

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About the Opportunity

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We are seeking experienced Oncologists to contribute clinical expertise to an advanced AI research project focused on improving medical reasoning in oncology. This short-term opportunity involves evaluating AI performance in real-world oncology scenarios, particularly clinical trial design, patient eligibility, and treatment decision-making.

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Responsibilities

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• Evaluate AI-generated responses to complex oncology cases.
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• Assess clinical reasoning related to treatment decisions and patient eligibility.
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• Review clinical trial design and patient-selection criteria.
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• Identify gaps, inaccuracies, and weaknesses in AI-generated medical reasoning.
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• Provide structured clinical feedback to support AI model training and evaluation.
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• Apply evidence-based oncology knowledge to real-world clinical scenarios.
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Required Qualifications

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• Licensed physician specializing in Oncology .
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• Based in the United States .
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• Hands-on clinical practice experience in oncology.
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• Strong understanding of cancer treatment, clinical trials, and patient eligibility.
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• Excellent analytical skills and ability to assess complex clinical reasoning.
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• Strong written communication skills and attention to detail.
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Preferred Qualifications

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• Experience in clinical trial design or patient eligibility assessment.
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• Expertise in evidence-based oncology treatment and clinical decision-making.
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• Experience reviewing clinical research or medical literature.
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• Previous experience with AI evaluation or medical research projects.
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Compensation & Engagement

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• Compensation: $350–$450/hour
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• Engagement Type: Hourly contract
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• Work Arrangement: Fully remote
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• Location Eligibility: United States
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• Project Duration: Short-term, with potential extension based on performance
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• Project Focus: Oncology reasoning, clinical trial evaluation, and AI research
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Application Process

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1. Submit your application with your resume and relevant oncology experience.
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2. Demonstrate your clinical practice experience and qualifications.
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3. Complete any required clinical or domain-specific assessment.
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4. Complete the hiring team review.
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5. Complete onboarding and project-specific instructions if selected.
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6. Begin evaluating oncology-related AI outputs and providing structured clinical feedback.
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