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 the next generation of tools used by researchers, clinicians, and regulatory teams worldwide?We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into AI-driven research workflows. You'll evaluate, guide, and improve how frontier AI systems interpret oncology trial data — ensuring the insights they generate meet the standards of actual clinical and regulatory practice.This is a fully remote, flexible contract role built for senior oncology professionals who want to contribute to something genuinely consequential — on their own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment strategies, and regulatory compliance standardsAnalyze cancer trial data covering safety profiles, efficacy endpoints, and biomarker results to assess treatment performanceTranslate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standardsReview and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory soundnessHelp establish the quality benchmarks that define how AI models understand real-world oncology researchWork independently and asynchronously — fully on your own scheduleWho You AreExperienced in designing and managing oncology clinical trials — from protocol development through data readoutStrong analytical background in oncology clinical data, including endpoints, safety profiles, and biomarkersFamiliar with regulatory submission standards for agencies such as the FDA or EMADetail-oriented and scientifically rigorous — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory settingAble to communicate complex oncology concepts clearly and precisely in writingSelf-motivated and reliable when working independentlyNice to HavePrior experience with data annotation, data quality review, or AI evaluation workflowsBackground in translational oncology, clinical pharmacology, or biomarker scienceExperience contributing to peer-reviewed publications or regulatory submissionsFamiliarity with AI tools or clinical decision-support systemsWhy Join UsWork directly on frontier AI systems being built to transform cancer research and clinical decision-makingInfluence how the next generation of AI understands real oncology data — at the protocol, endpoint, and regulatory levelFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workCollaborate with leading AI research labs and teams at the cutting edge of medical AIPotential for ongoing work and contract extension as new projects launchJ-18808-Ljbffr