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 affects patients worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI training and evaluation workflows. This is a fully remote, flexible contract role. You don't need an AI background — just a strong foundation in oncology trial design, data analysis, and regulatory standards. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards - Analyze cancer trial data — covering safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance and clinical validity - Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards - Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment - Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices 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 efficacy endpoints, safety monitoring, and biomarker analysis - Familiar with regulatory submission standards for major agencies such as the FDA or EMA - Detail-oriented and rigorous — you hold AI-generated outputs to the same standard you'd apply to a real trial report - Self-motivated and comfortable working independently in an asynchronous, remote environment Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation systems - Background in oncology subspecialties such as hematology, solid tumors, or immuno-oncology - Experience contributing to publications, regulatory submissions, or clinical decision-support tools - Familiarity with AI tools or clinical data platforms as an end user Why Join Us - Work directly on frontier AI systems being built to transform cancer research and clinical decision-making - Influence how AI models understand, evaluate, and reason about real oncology trial data - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.