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 understands and reasons about oncology — potentially influencing the future of cancer care for millions of patients?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology data, trial methodologies, and clinical insights used to train and evaluate frontier AI systems meet the highest scientific, regulatory, and clinical standards.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something transformative — on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards — for use in AI training workflows
Analyze cancer trial data covering safety profiles, efficacy endpoints, and biomarker results to assess how accurately AI systems represent real-world treatment outcomes
Translate trial findings into clear, structured outputs aligned with FDA/EMA regulatory and scientific reporting standards
Review and critique AI-generated oncology content for clinical accuracy, scientific validity, and regulatory relevance
Provide expert feedback that directly shapes how AI models learn to reason about cancer research and clinical decision-making
Who You Are
Experienced in designing and managing oncology clinical trials — from protocol development through data readout
Strong analytical background in oncology data, including clinical endpoints, safety reporting, and biomarker analysis
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical — you hold AI-generated content to the same standards you'd apply to a real trial
Comfortable working independently and asynchronously
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI model assessment
Background in translational oncology, precision medicine, or clinical biomarker research
Experience contributing to scientific publications or regulatory submission documents
Why Join Us
Work directly on frontier AI systems that are transforming how the world understands cancer research
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the substance of meaningful, high-impact scientific work
Influence how AI models interpret, evaluate, and communicate real oncology data at scale
Potential for ongoing work and contract extension as new projects launch
Collaborate with world-leading AI research labs and teams pushing the boundaries of medical AI

Work arrangement
Yes