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 and reasons about oncology — influencing research that could one day transform patient outcomes worldwide?We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, insights, and outputs meet the highest scientific, regulatory, and clinical standards.This is a fully remote, flexible contract role built for working oncology professionals and researchers who want to apply their expertise beyond the lab or clinic.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards — for use in AI training workflowsAnalyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevanceTranslate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standardsReview and evaluate AI-generated clinical insights, flagging inaccuracies and ensuring outputs reflect real-world oncology practiceProvide expert judgment on how well AI models interpret and reason about complex 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 clinical data — endpoints, safety profiles, biomarkers, and statistical outputsFamiliar with regulatory submission standards for agencies such as the FDA or EMADetail-oriented, methodical, and confident in making expert clinical judgmentsComfortable working independently on structured, task-based assignmentsNice to HavePrior experience with data annotation, data quality evaluation, or AI model assessment workflowsBackground in translational oncology, precision medicine, or biomarker-driven trial designExperience authoring or reviewing clinical study reports, publications, or regulatory dossiersFamiliarity with AI tools or clinical data platforms as an end userWhy Join UsWork directly on frontier AI systems being developed alongside the world's leading research labsInfluence how AI models understand, interpret, and reason about real oncology dataFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, expert-level workContribute to AI-driven oncology research with genuine potential to impact cancer carePotential for ongoing work and contract extension as new projects launch