Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)About The RoleWhat 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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign and evaluate oncology clinical trial protocols, including patient enrollment criteria, endpoint selection, and compliance with regulatory and ethical standardsAnalyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and clinical relevanceTranslate trial findings into clear regulatory and scientific outputs aligned with FDA, EMA, or equivalent submission standardsReview and evaluate AI-generated clinical insights for scientific accuracy, clinical appropriateness, and regulatory alignmentProvide structured, expert feedback that directly improves how AI models reason about oncology dataWork independently and asynchronously — fully on your own scheduleWho You AreExperienced in designing and managing oncology clinical trials, from protocol development through data readoutStrong background in analyzing oncology endpoints, safety data, and biomarker resultsFamiliar with regulatory submission frameworks for agencies such as the FDA or EMADetail-oriented and methodical — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory settingComfortable working independently on structured, task-based assignmentsNice to HavePrior experience with data annotation, data quality evaluation, or AI assessment workflowsBackground in oncology subspecialties such as hematology, immunotherapy, or precision medicineExperience authoring or reviewing clinical study reports, IND/NDA submissions, or peer-reviewed publicationsFamiliarity with biostatistics or clinical data managementWhy Join UsWork directly on frontier AI systems transforming how the world understands and fights cancerInfluence how AI models learn to reason about real oncology data — your expertise shapes the outputFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, expert-level workCollaborate with leading AI research teams pushing the boundaries of medical AIPotential for ongoing work and contract extension as new projects launch