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 cutting-edge AI development. You'll review, evaluate, and help refine AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter most in cancer research. 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 - Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment - Apply your trial design expertise to assess study protocols, endpoint definitions, patient enrollment logic, and compliance frameworks - Analyze AI outputs covering cancer trial data — including safety signals, efficacy results, and biomarker findings — and flag gaps or errors - Evaluate how well AI-generated insights reflect real-world regulatory standards for agencies such as the FDA and EMA - Provide structured, expert feedback that directly improves how AI models understand and reason about oncology data - 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 analytical background in oncology clinical data, including endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for the FDA, EMA, or comparable agencies - Detail-oriented and systematic — you notice when clinical or scientific logic doesn't hold up - Clear and precise written communicator who can articulate complex clinical reasoning - Comfortable working independently without day-to-day oversight Nice to Have - Prior experience with data annotation, data quality evaluation, or AI content review - Background in translational oncology, biomarker research, or precision medicine - Experience contributing to regulatory submissions, clinical study reports, or scientific publications - Familiarity with AI tools or clinical informatics platforms Why Join Us - Work directly on frontier AI systems being built to transform cancer research and clinical decision-making - Influence how AI models interpret real oncology data — your expertise shapes what these systems get right - Fully remote and flexible — work when and where it suits you, with no fixed schedule - Freelance autonomy with the structure of meaningful, expert-level work - Collaborate with world-leading AI research teams and labs on problems that matter - Potential for ongoing work and contract extension as new projects launch
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