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

• 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

• 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

• 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

• 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