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 tools that could one day transform cancer care for millions of patients? We're looking for an Oncology Clinical Researcher to bring real-world clinical trial expertise into cutting-edge AI development. You'll evaluate, guide, and validate AI-generated oncology content — ensuring it meets the rigorous scientific, regulatory, and clinical standards that this field demands. This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely meaningful — 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 — covering patient enrollment, study design, regulatory compliance, and ethical standards - Analyze cancer trial data including safety profiles, efficacy endpoints, and biomarker results to assess treatment performance - Translate trial outcomes into the kind of rigorous scientific and regulatory reporting used for FDA/EMA submissions and clinical decision-making - Review AI-generated oncology insights and clinical content for scientific accuracy, regulatory alignment, and real-world clinical relevance - Help shape how frontier AI systems understand, interpret, and communicate complex oncology data Who You Are - Experienced in designing and managing oncology clinical trials — from protocol development through to data readout - Strong working knowledge of oncology clinical data analysis, including endpoints, safety reporting, and biomarker evaluation - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you hold AI-generated content to the same standards you'd apply in a real clinical or regulatory setting - Comfortable working independently and asynchronously in a remote environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI model assessment workflows - Background in oncology drug development, medical writing, or clinical operations - Experience preparing or reviewing regulatory dossiers, clinical study reports, or scientific publications Why Join Us - Work directly on frontier AI systems being developed alongside the world's leading AI research labs - Be among the first oncology experts to influence how AI reasons about real cancer trial data - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the substance of genuinely impactful, domain-expert work - Potential for ongoing work and contract extension as new AI projects launch
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