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 research that could one day save lives at scale? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into the AI systems being built by the world's leading research labs. You'll ensure that AI-generated oncology insights reflect the regulatory, scientific, and clinical standards that matter most — and that the data powering these models is grounded in how cancer research actually works. 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 - Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, endpoint selection, and regulatory compliance frameworks - Analyze cancer trial data — safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and data quality - Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and alignment with FDA/EMA regulatory standards - Translate complex trial outcomes into clear, structured evaluations that help AI systems learn to reason correctly about oncology data - Flag errors, gaps, and misrepresentations in AI-generated content related to cancer research and clinical methodology - Work independently and asynchronously on task-based assignments — 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 interpretation - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you notice when clinical reasoning doesn't hold up - Able to communicate complex scientific concepts clearly in writing - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality review, or clinical evaluation workflows - Background in oncology drug development, translational research, or medical affairs - Familiarity with AI tools or clinical decision support systems as an end user - Publications or regulatory submission experience in an oncology context Why Join Us - Work directly on frontier AI systems being built to transform cancer research - Influence how AI models understand, interpret, and reason about real oncology data - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Collaborate with a global network of domain experts and leading AI research teams - Potential for ongoing work and contract extension as new projects launch
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