Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research tools used by scientists and clinicians worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world expertise into AI development workflows. You'll review, evaluate, and improve AI-generated oncology content — ensuring that the models powering tomorrow's cancer research are grounded in rigorous clinical science, regulatory standards, and patient-centered evidence. This is a fully remote, flexible contract role. No AI background required — just deep 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, regulatory alignment, and scientific rigor - Apply your expertise in trial design — protocols, patient enrollment, endpoints, and ethics — to assess how well AI captures real-world standards - Analyze AI outputs related to cancer trial data, including safety profiles, efficacy results, and biomarker interpretation - Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH standards - Flag errors, gaps, or misleading outputs and provide structured, expert feedback - 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 - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented with a systematic approach to evaluating complex scientific content - Comfortable working independently and delivering high-quality written feedback - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Background in translational oncology, biomarker research, or precision medicine - Familiarity with clinical trial phases across solid tumors or hematologic malignancies - Prior involvement in regulatory submissions, publications, or clinical guideline development Why Join Us - Work directly on frontier AI systems transforming the future of cancer research - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-stakes scientific work - Shape how AI models understand real oncology data — a direct, tangible contribution to the field - Collaborate with leading AI research teams and labs on cutting-edge projects - Potential for ongoing work and contract extension as new projects launch
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