Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulators worldwide? We're looking for an experienced Oncology Clinical Researcher to bring real-world expertise into cutting-edge AI development. You'll evaluate and improve how advanced AI systems handle oncology trial data, clinical insights, and regulatory science — ensuring the AI reflects the standards that actually matter in cancer research. This is a fully remote, flexible contract role designed for 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 - Review and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific validity - Apply your expertise in clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess how well AI captures these processes - Analyze AI outputs related to cancer trial data, including safety profiles, efficacy endpoints, and biomarker results - Evaluate the quality of AI-generated regulatory and scientific reporting against FDA/EMA submission standards - Provide structured, expert feedback that directly shapes how AI models 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 oncology data analysis — endpoints, safety, and biomarker interpretation - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous in applying scientific and clinical standards - Comfortable working independently on task-based assignments Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology, precision medicine, or immuno-oncology - Experience contributing to peer-reviewed publications or regulatory dossiers - Familiarity with AI tools or clinical decision support systems as an end user Why Join Us - Work directly on frontier AI systems being built alongside the world's leading research labs - Influence how AI models understand, interpret, and reason about real oncology science - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Contribute to AI development that has the potential to accelerate cancer research at scale - Potential for ongoing work and contract extension as new projects launch
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