Oncology Clinical Researcher
About this role
About the Role What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and drug developers worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting-edge AI development. You'll evaluate, guide, and validate AI-generated oncology content — ensuring it reflects the standards you've spent your career mastering: regulatory compliance, scientific accuracy, and clinical relevance. This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for quality. - 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 soundness, and regulatory alignment - Apply your expertise in clinical trial design — including protocol development, patient enrollment strategies, and endpoint selection — to assess and improve AI outputs - Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy results, and biomarker findings - Evaluate AI-produced regulatory and scientific content against FDA, EMA, and ICH standards - Provide structured, expert feedback that directly shapes how AI models understand and 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 primary and secondary endpoints, safety reporting, and biomarker evaluation - Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and methodical — you catch what others miss and can articulate why it matters - Comfortable working independently and delivering high-quality written feedback - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality evaluation, or AI-assisted research tools - Background in oncology drug development, translational research, or medical writing - Familiarity with clinical trial management systems or regulatory dossier preparation - Experience spanning multiple cancer types or trial phases (Phase I–III) Why Join Us - Work directly on frontier AI systems transforming how the world approaches 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 novel contribution to your field - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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