Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training) About The Role What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing systems that may one day support life‑saving treatment decisions for patients worldwide? We’re looking for Oncology Clinical Researchers to bring real‑world clinical rigor into the AI training pipeline. You’ll review, evaluate, and improve AI‑generated oncology content — ensuring that the models being built today reflect the scientific, regulatory, and clinical standards that matter most in cancer medicine. This is a fully remote, flexible contract role. No AI background needed — just serious oncology expertise and a sharp eye for clinical accuracy. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You’ll Do Review and evaluate AI‑generated oncology content for clinical accuracy, scientific validity, and regulatory alignment Apply your expertise in clinical trial design — protocol development, patient enrollment, endpoints, and safety monitoring — to assess how well AI systems understand real‑world trial methodology Analyze AI outputs related to cancer trial data, including efficacy results, safety profiles, and biomarker findings Evaluate AI‑generated regulatory and scientific content against FDA/EMA submission standards Provide structured, expert feedback that directly shapes how AI models reason about oncology Work independently and asynchronously — fully on your own schedule Who You Are Experienced in designing and managing oncology clinical trials from protocol development through data readout Strong background in analyzing oncology clinical data — endpoints, safety profiles, biomarkers, and statistical outputs Solid familiarity with regulatory standards for agencies such as the FDA or EMA Detail‑oriented and methodical — you catch what others miss Able to translate complex clinical knowledge into clear, structured evaluations No prior AI or data annotation experience required NICE TO HAVE Experience with data annotation, data quality assurance, or AI evaluation workflows Background in oncology subspecialties such as immuno‑oncology, hematologic malignancies, or solid tumors Familiarity with clinical decision‑making tools or real‑world evidence frameworks Experience contributing to FDA/EMA submissions or peer‑reviewed oncology publications Why Join Us Work directly on frontier AI systems being built to transform cancer research and clinical medicine Influence how AI models understand and reason about real oncology data — at the cutting edge of the field Fully remote and flexible — work when and where it suits you Freelance autonomy: set your own pace, choose your hours, collaborate globallyMeaningful work with real‑world impact on how AI approaches one of medicine’s hardest problems Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr