Oncology Clinical Researcher

Oncology Clinical Researcher

What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing systems that may one day transform how cancer is researched and treated 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 methodologies, and clinical insights used to train and evaluate advanced AI systems meet the highest scientific and regulatory standards.

This is a fully remote, flexible contract role built for experienced 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 protocols — including study design, patient enrollment strategy, and regulatory and ethical compliance standards
• Analyze cancer trial data across safety profiles, efficacy endpoints, and biomarker results to assess treatment performance
• Translate clinical trial outcomes into regulatory and scientific outputs aligned with FDA, EMA, and other agency submission standards
• Review and evaluate AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment
• Help shape how frontier AI models understand, interpret, and reason about real-world oncology data

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong analyst of oncology clinical data — including primary and secondary endpoints, safety profiles, and biomarker-driven outcomes
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented, scientifically rigorous, and comfortable working independently in an asynchronous environment
• Motivated by the idea of applying your clinical expertise to a field that is rapidly redefining cancer research

• Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
• Background in oncology drug development, translational research, or clinical operations
• Experience producing publications, clinical study reports, or regulatory dossiers

• Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
• Influence how AI models understand real oncology trial data — your expertise shapes the science
• Fully remote and flexible — work on your own schedule, wherever you are in the world
• Freelance autonomy with access to meaningful, high-impact work at the intersection of oncology and AI
• Collaborate with world-leading AI research labs and teams
• Potential for ongoing work and contract extension as new projects launch