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 impact millions of patients?We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the systems being built to transform cancer research are grounded in accurate, regulatory-aligned, and scientifically sound clinical knowledge.This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical quality.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignmentApply your expertise in trial design — including protocol development, patient enrollment standards, and ethical compliance — to assess and improve AI outputsAnalyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker findingsEvaluate how well AI systems translate trial outcomes into regulatory and scientific contexts relevant to FDA/EMA standardsProvide structured, expert feedback that directly shapes how frontier AI models reason about real 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 command of oncology clinical data analysis — endpoints, safety profiles, biomarkers, and beyondSolid familiarity with regulatory submission standards for agencies such as the FDA or EMANaturally detail-oriented with a rigorous, systematic approach to evaluating clinical informationAble to communicate complex clinical findings clearly and concisely in written formNo prior AI or tech experience requiredNice to HavePrior experience with data annotation, data quality assessment, or AI evaluation workflowsBackground in translational oncology, clinical pharmacology, or regulatory affairsExperience authoring or reviewing clinical study reports, IND/NDA submissions, or publicationsFamiliarity with AI tools or clinical decision support platforms as an end userWhy Join UsWork directly on frontier AI systems that are transforming how cancer research is conductedFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact project workInfluence how AI models understand, evaluate, and reason about real-world oncology dataCollaborate with world-leading AI research teams and labsPotential for ongoing work and contract extension as new projects launch