Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)About The RoleWhat if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that will impact patients, researchers, and clinicians worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial expertise into cutting-edge AI research and evaluation workflows.
Your knowledge of trial design, regulatory standards, and cancer biology will help ensure that the AI systems being built today reflect the rigor and nuance that oncology demands.This is a fully remote, flexible contract role built for clinical professionals who want to engage with frontier technology — on their own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: ***** hours/weekWhat You'll DoReview and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific validityApply your expertise in trial protocol design, patient enrollment, and compliance to assess how well AI systems reflect real-world oncology practiceAnalyze and interpret cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to identify gaps or errors in AI outputsEvaluate AI-generated regulatory and scientific content against FDA/EMA submission standardsProvide structured, expert feedback that directly shapes how frontier 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 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 methodical — you notice when clinical reasoning doesn't hold upComfortable working independently on complex, nuanced subject matterNice to HavePrior experience with data annotation, data quality review, or AI evaluation workflowsBackground in translational oncology or biomarker researchExperience preparing or reviewing regulatory documents for cancer therapeuticsFamiliarity with AI tools or content evaluation platformsWhy Join UsWork directly on frontier AI systems that are transforming how cancer research is understood and appliedFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, expert-driven workInfluence how AI models understand real oncology data at the highest level of clinical and regulatory rigorPotential for ongoing work and contract extension as new projects launchCollaborate with world-leading AI research teams on problems that genuinely matter#J-*****-Ljbffr