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 future of cancer research and treatment at scale? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory rigor to cutting-edge AI development. You'll work alongside leading AI research teams to ensure the oncology data powering next-generation AI models reflects the highest standards of clinical accuracy, regulatory compliance, and scientific integrity. This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial protocols — bringing your expertise in patient enrollment, regulatory compliance, and study design to AI training workflows - Analyze cancer trial data including safety profiles, efficacy endpoints, and biomarker results to assess treatment performance and clinical relevance - Translate trial outcomes into clear regulatory and scientific frameworks aligned with FDA/EMA submission standards - Review and critique AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment - Help ensure that AI systems reasoning about oncology data reflect real-world clinical and regulatory standards - 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 clinical oncology data — including primary and secondary endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you hold clinical AI outputs to the same standards you'd apply to real-world research - Self-motivated and comfortable working independently without day-to-day supervision Nice to Have - Prior experience with data annotation, data quality evaluation, or AI model assessment - Background in oncology-specific regulatory affairs or clinical operations - Experience writing or reviewing clinical study reports, IND/NDA submissions, or publications - Familiarity with AI tools or evaluation platforms as an end user Why Join Us - Work directly on frontier AI systems that are transforming how the world approaches cancer research - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the substance of meaningful, high-impact scientific work - Contribute to AI development that could reshape clinical decision-making and cancer treatment globally - Potential for ongoing work and contract extension as new projects launch
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