Oncology Clinical Researcher

What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research tools used by scientists and clinicians around the world?

We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, clinical insights, and regulatory standards are accurately reflected in next-generation AI systems.

This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• 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 treatment performance
• Translate trial outcomes into structured regulatory and scientific reports aligned with FDA/EMA submission standards
• Review and evaluate AI-generated clinical insights for accuracy, clinical relevance, and regulatory soundness
• Help ensure AI models reason correctly about real oncology data — from trial design through data readout

• Experienced in designing and managing oncology clinical trials from protocol development through final 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 rigorous — you hold AI-generated content to the same standard you'd apply in a real clinical setting
• Comfortable working independently and asynchronously on your own schedule

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology, precision medicine, or companion diagnostics
• Experience contributing to or reviewing publications, INDs, or NDAs

• Work directly on frontier AI systems transforming how cancer research is understood and applied
• Influence how AI models interpret, evaluate, and communicate real oncology data
• Fully remote and flexible — structure your work around your life, not the other way around
• Collaborate with world-leading AI research teams on problems that actually matter
• Freelance autonomy with the substance of genuinely impactful, expert-level work
• Potential for ongoing work and contract extension as new projects launch