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 the tools that will define the future of cancer care? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter most in cancer research. This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical trials and a sharp eye for scientific 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 relevance - Apply your expertise in trial design — protocol development, patient enrollment, safety monitoring, and regulatory compliance — to assess AI outputs - Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results - Identify gaps, errors, or misalignments between AI-generated insights and real-world oncology standards - Translate your clinical knowledge into structured, actionable feedback that directly improves AI model performance - Work independently and asynchronously — entirely 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 — including primary and secondary endpoints, safety monitoring, and biomarker analysis - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and methodical, with a consistent approach to evaluating complex scientific content - Able to clearly communicate clinical reasoning and feedback in writing - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology, precision medicine, or biomarker-driven trial design - Familiarity with regulatory documents such as clinical study reports, INDs, or NDAs - Prior work across multiple cancer indications or therapeutic modalities Why Join Us - Work directly on frontier AI systems transforming how cancer research is understood and applied - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Influence how AI models reason about real oncology data at the cutting edge of medical AI - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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