Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)
About The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and drug developers worldwide?
We're looking for Oncology Clinical Researchers to bring real-world trial expertise into AI-driven workflows. You'll review, evaluate, and inform the AI systems being built to support cancer research — ensuring they reflect the rigor, regulatory standards, and clinical nuance that this field demands.
This is a fully remote, flexible contract role designed for experienced oncology professionals who want to do meaningful work 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 logic, and regulatory compliance standards — to ensure AI-generated outputs meet real-world clinical expectations
Analyze cancer trial data across safety, efficacy, and biomarker dimensions to assess the accuracy and clinical relevance of AI outputs
Translate trial outcomes and findings into clear, structured evaluations aligned with FDA, EMA, and international regulatory standards
Review AI-generated clinical insights and flag errors in scientific reasoning, data interpretation, or regulatory alignment
Provide expert feedback that directly shapes how frontier AI models understand oncology research
Who You Are
Experienced in designing and managing oncology clinical trials — from protocol development through data readout
Strong command of oncology data analysis, including clinical endpoints, safety profiles, and biomarker interpretation
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and capable of evaluating complex clinical information with precision
Comfortable working independently and asynchronously in a remote environment
Nice to Have
Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in translational oncology or drug development
Experience contributing to publications, regulatory submissions, or clinical decision-support tools
Why Join Us
Work directly on frontier AI systems that are transforming how the world approaches cancer research
Fully remote and flexible — structure your hours around your life, not the other way around
Freelance autonomy with the depth of meaningful, expert-level work
Collaborate with world-leading AI research teams and labs on problems that matter
Influence how AI models reason about real oncology data — your expertise sets the standard
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes