Oncology Clinical Researcher

What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about one of medicine's most complex and high-stakes fields? We're looking for an Oncology Clinical Researcher to bring real-world expertise into the AI development process — ensuring that the models transforming cancer research are grounded in rigorous clinical science.

This is a fully remote, flexible contract role. No prior AI experience needed — just a strong command of oncology trial design, data analysis, and regulatory standards.

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

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, study endpoints, and regulatory compliance frameworks
• Analyze cancer trial data — covering safety profiles, efficacy results, and biomarker findings — to assess treatment performance and clinical relevance
• Translate complex trial outcomes into clear, structured outputs aligned with FDA, EMA, and other regulatory submission standards
• Review and evaluate AI-generated oncology content for scientific accuracy, clinical validity, and regulatory alignment
• Identify gaps, errors, and inconsistencies in how AI models interpret and represent oncology research

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong analytical background in oncology data — including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical, with a commitment to scientific rigor
• Able to work independently and deliver consistent, high-quality evaluations

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology or clinical pharmacology
• Experience contributing to peer-reviewed publications or regulatory dossiers

• Work directly on frontier AI systems that are transforming how cancer research is understood and applied
• Influence how AI models reason about real oncology data — your expertise shapes the science
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Collaborate with leading AI research labs and teams at the cutting edge of medical AI
• Potential for ongoing work and contract extension as new projects launch