Oncology Clinical Researcher
About this role
About the Role What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — shaping tools that may one day transform how patients are treated? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring that the models being built to support cancer research actually reflect the complexity, precision, and regulatory standards the field demands. This is a fully remote, flexible contract role designed for experienced oncology professionals. No AI background required — just deep clinical knowledge and a sharp eye for scientific accuracy. - 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 clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess AI outputs against real-world standards - Analyze cancer trial data representations, including safety profiles, efficacy endpoints, and biomarker results, to identify gaps or errors in AI reasoning - Evaluate how well AI systems interpret and communicate trial outcomes relevant to FDA/EMA regulatory submissions, publications, and clinical decision-making - Provide structured, expert feedback that directly shapes how frontier AI models understand oncology data - 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 oncology clinical data analysis, including endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and methodical — you catch what others miss - Able to translate complex clinical knowledge into clear, structured written feedback - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology or drug development - Experience contributing to regulatory submissions, clinical study reports, or peer-reviewed publications - Familiarity with AI tools or clinical decision support systems Why Join Us - Work directly on frontier AI systems being built to transform cancer research - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Influence how AI models reason about real oncology data — a genuinely rare opportunity - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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