Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — improving the tools that researchers, clinicians, and scientists rely on? We're looking for Oncology Clinical Researchers to bring real-world clinical expertise into cutting-edge AI development. You'll evaluate, review, and inform AI-generated oncology content — ensuring it reflects the scientific rigor, regulatory standards, and clinical nuance that this field demands. This is a fully remote, flexible contract role. No AI background needed — just serious expertise in oncology clinical research and a sharp eye for 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 trial design to assess AI outputs against real-world protocol standards — including patient enrollment, endpoint selection, and compliance requirements - Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy outcomes, and biomarker findings - Evaluate whether AI-produced regulatory and scientific summaries meet the standards expected for FDA/EMA submissions and clinical publications - Provide structured, detailed feedback that directly improves how AI systems reason about 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 analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you hold AI outputs to the same standards you'd apply in real clinical practice - Comfortable providing clear, structured written feedback across a range of oncology topics - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality assessment, or AI evaluation workflows - Background in translational oncology, clinical pharmacology, or biomarker science - Experience contributing to peer-reviewed publications or regulatory submissions - Familiarity with multiple oncology therapeutic areas — solid tumors, hematologic malignancies, immunotherapy, etc. Why Join Us - Work directly on frontier AI systems being built to transform cancer research - Influence how AI models understand and reason about real oncology data — at the source - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, impactful work - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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