Oncology Clinical Researcher

Chicago

**Oncology Clinical Researcher (AI Training)** **About The Role** What if your deep expertise in cancer clinical trials could directly shape how AI understands, reasons about, and advances oncology research? We're looking for Oncology Clinical Researchers to bring real-world clinical knowledge into cutting-edge AI training and evaluation workflows --- ensuring the AI systems influencing cancer care are grounded in rigorous, regulatory-grade science. This is a fully remote, flexible contract role. No AI background required --- just a strong command of 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 patient enrollment criteria, endpoint selection, and compliance with regulatory and ethical standards * Analyze cancer trial data --- including safety profiles, efficacy outcomes, and biomarker results --- to assess treatment performance and clinical relevance * Translate trial findings into clear regulatory and scientific outputs aligned with FDA, EMA, or equivalent submission standards * Review and evaluate AI-generated clinical insights for scientific accuracy, clinical appropriateness, and regulatory alignment * Provide structured, expert feedback that directly improves how AI models reason about 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 oncology endpoints, safety data, and biomarker results * Familiar with regulatory submission frameworks for agencies such as the FDA or EMA * Detail-oriented and methodical --- you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting * Comfortable working independently on structured, task-based assignments **Nice to Have** * Prior experience with data annotation, data quality evaluation, or AI assessment workflows * Background in oncology subspecialties such as hematology, immunotherapy, or precision medicine * Experience authoring or reviewing clinical study reports, IND/NDA submissions, or peer-reviewed publications * Familiarity with biostatistics or clinical data management **Why Join Us** * Work directly on frontier AI systems transforming how the world understands and fights cancer * Influence how AI models learn to reason about real oncology data --- your expertise shapes the output * Fully remote and flexible --- work when and where it suits you * Freelance autonomy with the structure of meaningful, expert-level work * Collaborate with leading AI research teams pushing the boundaries of medical AI * Potential for ongoing work and contract extension as new projects launch