JOBSEARCHER

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 in cancer research and care?We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial knowledge into cutting-edge AI development workflows. You'll evaluate, validate, and improve AI-generated oncology insights - ensuring that the models shaping the future of cancer research are grounded in rigorous science, clinical accuracy, and regulatory reality.This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative - on their own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10-40 hours/week What You'll DoReview and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignmentApply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, and compliance standardsAnalyze and validate AI-generated interpretations of cancer trial data - including safety profiles, efficacy endpoints, and biomarker resultsAssess the quality of AI-generated regulatory and scientific content relevant to FDA/EMA submission standardsProvide structured, expert feedback that directly improves how AI models understand and reason about oncologyWork independently and asynchronously - fully on your own schedule Who You AreExperienced in designing and managing oncology clinical trials - from protocol development through data readoutStrong background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkersFamiliar with regulatory submission standards for agencies such as the FDA or EMADetail-oriented and rigorous - you hold clinical and scientific content to a high standardAble to communicate complex oncology concepts clearly in written formComfortable working independently on structured, task-based assignments Nice to HavePrior experience with data annotation, data quality assessment, or AI evaluation workflowsBackground in oncology research publications or clinical decision supportExperience across multiple cancer types or trial phasesFamiliarity with AI tools or clinical informatics platforms Why Join UsWork directly on frontier AI systems with the potential to transform cancer researchFully remote and flexible - work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workInfluence how AI models understand real-world oncology data at the frontier of the fieldCollaborate with world-leading AI research teams and labsPotential for ongoing work and contract extension as new projects launch