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 systems that may one day transform how cancer is diagnosed and treated? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research. This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials 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, regulatory alignment, and scientific soundness - Apply your experience in trial design — including protocol development, patient enrollment standards, and compliance — to assess AI outputs against real-world standards - Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results - Evaluate AI-produced regulatory and scientific content against FDA/EMA submission standards and current clinical practice - Provide structured, expert feedback that directly improves how AI models 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 — endpoints, safety profiles, biomarkers, and statistical outcomes - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and methodical, with high standards for scientific accuracy - Able to evaluate complex clinical content and communicate feedback clearly - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology or biomarker-driven research - Familiarity with clinical decision support tools or evidence-based medicine frameworks - Experience contributing to regulatory submissions or scientific publications Why Join Us - Work directly on frontier AI systems being developed alongside the world's leading research labs - 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 understand, interpret, and reason about real oncology data - Contribute to work that could genuinely shape the future of cancer research and patient outcomes - Potential for ongoing work and contract extension as new projects launch
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