What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulatory teams worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that the oncology knowledge embedded in frontier AI systems is clinically accurate, regulatory-sound, and scientifically credible.
This is a fully remote, adaptable contract role. No AI background required — just deep expertise in oncology clinical research and a sharp eye for scientific quality.
Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards
Analyze cancer trial data across safety, efficacy,
and biomarker endpoints to assess how accurately AI models interpret treatment outcomes
Review and validate AI-generated clinical insights for scientific accuracy, regulatory alignment, and real-world clinical relevance
Translate trial outcomes and AI evaluations into structured reports reflecting FDA/EMA submission standards and clinical decision-making norms
Provide expert feedback that directly shapes how AI systems learn to reason about oncology data
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 primary and secondary endpoints, safety profiles, and biomarker results
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and systematic — you hold AI-gen