About this role · Stem
About the Role What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that will define the next era of cancer research and care? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into AI-driven research workflows. You'll evaluate, validate, and improve how advanced AI systems understand oncology trial data — ensuring that the science behind cutting-edge AI reflects genuine regulatory, clinical, and scientific standards. 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 - Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance considerations - Analyze cancer trial data covering safety endpoints, efficacy outcomes, and biomarker results to assess treatment performance - Translate complex trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards - Review and critique AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment - Apply your domain expertise to improve how AI models understand and reason about real-world oncology data - 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 AI-generated content to the same standards you'd apply in a real clinical setting - Comfortable working independently on structured, task-based assignments Nice to Have - Prior experience with data annotation, data quality evaluation, or AI model assessment workflows - Background in oncology publications, clinical decision support, or medical writing - Experience across multiple cancer types or therapeutic modalities Why Join Us - Work directly on frontier AI systems that are transforming how cancer research is understood and conducted - Influence how AI models reason about real oncology data — at a scale no individual trial could achieve - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, impactful work - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch