Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing the systems that will transform how we research, diagnose, and treat cancer? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and validate AI-generated oncology insights, ensuring that the models being built by the world's leading AI labs are grounded in genuine scientific, regulatory, and clinical expertise. This is a fully remote, flexible contract role. If you've spent years designing trials, interpreting endpoints, and navigating regulatory submissions — this is a rare opportunity to apply that expertise at the frontier of AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment - Apply your expertise in trial design — including protocol development, patient enrollment frameworks, and compliance standards — to assess and improve AI outputs - Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results - Evaluate whether AI-produced regulatory and scientific content meets the standards required for FDA/EMA submissions and clinical decision-making - Provide structured, expert feedback that directly shapes how frontier AI models understand and reason about oncology - Work independently and asynchronously — fully on your own schedule Who You Are - Experienced in designing and managing oncology clinical trials, from protocol development through data readout - Strong background in analyzing oncology clinical data — endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and methodical — you hold clinical outputs to a high standard - Comfortable evaluating complex scientific content and articulating clear, reasoned feedback - No prior AI experience required — your clinical expertise is what matters Nice to Have - Prior experience with data annotation, data quality, or evaluation workflows - Background in translational oncology or biomarker research - Experience contributing to regulatory submissions or clinical publications - Familiarity with AI tools or content evaluation platforms as an end user Why Join Us - Work directly on frontier AI systems being built to transform cancer research - Influence how AI models understand real oncology data — your expertise leaves a lasting mark - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Collaborate with a global network of specialists across medicine and science - Potential for ongoing work and contract extension as new projects launch
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