Oncology Clinical Researcher (AI Training)What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — at a global scale? We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll work with leading AI labs to ensure the models being trained on oncology data reflect genuine clinical, regulatory, and scientific standards — the kind of nuance only a seasoned expert can provide. This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.About The RoleOrganization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign and evaluate oncology clinical trial protocols, ensuring alignment with regulatory and ethical standardsAnalyze cancer trial data — including safety outcomes, efficacy endpoints, and biomarker results — to assess treatment performanceTranslate trial findings into regulatory and scientific reports consistent with FDA/EMA submission standardsReview and evaluate AI-generated clinical insights for accuracy, scientific validity,



and regulatory alignmentHelp shape how frontier AI models understand and reason about real-world 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 with a systematic, rigorous approach to evaluating scientific contentComfortable working independently and delivering structured, high-quality outputsNice to HavePrior experience with data annotation, data quality review, or AI evaluation systemsBackground in translational oncology or biomarker-driven trial designFamiliarity with AI tools or clinical data platformsExperience writing or reviewing publications for peer-reviewed oncology journalsWhy Join UsWork directly on frontier AI systems being developed alongside the world's leading research labsFully remote and versátil — work when and where it suits youFreelance autonomy with the substance of impactful, expert-level workInfluence how AI models interpret and apply real oncology evidenceContribute to technology that could meaningfully advance how cancer research is conducted and understoodPotential for ongoing work and contract extension as new projects launch#J-18808-Ljbffr

📌 Oncology Clinical Researcher (Madrid)
🏢 Alignerr
📍 Madrid