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 review, evaluate, and inform AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter in the real world. This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Evaluate AI-generated clinical insights for oncology accuracy, regulatory alignment, and scientific validity - Apply your expertise in trial design — protocols, patient enrollment, compliance, and regulatory standards — to assess AI outputs - Review cancer trial data interpretations, including safety profiles, efficacy analyses, and biomarker findings - Identify gaps or errors in how AI systems represent oncology concepts, clinical methodology, and trial outcomes - Provide structured, expert-level feedback that directly shapes how frontier AI models reason about cancer research - Work independently and asynchronously 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 treatment outcomes - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and able to provide precise, well-reasoned written feedback - Self-motivated and reliable when working independently Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology or biomarker-driven trial design - Experience contributing to FDA/EMA submissions, clinical publications, or regulatory affairs - Familiarity with AI tools or clinical decision-support systems Why Join Us - Work directly on frontier AI systems being built to transform 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 understand real oncology data at a foundational level - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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