Oncology Clinical Researcher
About this role
About the Role What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that may one day transform how cancer is diagnosed and treated? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and inform AI systems being trained on oncology data — ensuring they reflect the scientific, regulatory, and clinical standards that actually matter in cancer research. This is a fully remote, flexible contract role. No AI background needed — 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 - Design and evaluate oncology clinical trial protocols, covering patient enrollment, regulatory compliance, and ethical standards - Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance - Translate trial outcomes into regulatory and scientific frameworks aligned with FDA, EMA, and other major agency standards - Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment - Flag errors, gaps, and misrepresentations in AI outputs related to cancer research and clinical trial methodology - 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, including endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented with a systematic, rigorous approach to scientific evaluation - Able to communicate complex clinical concepts clearly in written form - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality review, or evaluation systems - Background in translational oncology or clinical operations - Experience contributing to peer-reviewed publications or regulatory submissions - Familiarity with AI tools or clinical informatics platforms Why Join Us - Work directly on frontier AI systems being built to understand and advance cancer research - Influence how AI models reason about real oncology data — a genuinely rare opportunity - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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