Oncology Clinical Researcher

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 regulators worldwide?

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

This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy.

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

• Design and evaluate oncology clinical trial protocols, including patient enrollment strategies and regulatory compliance standards
• Analyze cancer trial data — safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance
• Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA, EMA, and international standards
• Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment
• Help shape how AI models reason about real oncology evidence, trial design, and clinical decision-making
• Work independently and asynchronously — fully on your own schedule

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong background in analyzing oncology endpoints, safety data, 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 standards as a peer-reviewed submission
• Comfortable working independently on structured, task-based assignments
• No prior AI or data annotation experience required

• Experience with data annotation, data quality review, or evaluation systems
• Background in translational oncology, precision medicine, or biomarker research
• Familiarity with clinical data management systems or electronic data capture platforms
• Prior involvement in regulatory submissions or scientific publications

• Work directly on frontier AI systems transforming how the world understands cancer research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Influence how AI models interpret and apply real oncology science at a global scale
• Collaborate with world-leading AI research labs on high-impact projects
• Potential for ongoing work and contract extension as new projects launch