Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training) About The Role

What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that will define the next era of cancer research and care?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into AI-driven research workflows. You'll evaluate, validate, and improve how advanced AI systems understand oncology trial data — ensuring that the science behind cutting‑edge AI reflects genuine regulatory, clinical, and scientific standards.

This is a fully remote, flexible contract role built 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 criteria, and regulatory compliance considerations
• Analyze cancer trial data covering safety endpoints, efficacy outcomes, and biomarker results to assess treatment performance
• Translate complex trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
• Review and critique AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment
• Apply your domain expertise to improve how AI models understand and reason about real‑world oncology data
• 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 clinical oncology data — including primary and secondary endpoints, safety profiles, and biomarkers
• 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 you'd apply in a real clinical setting
• Comfortable working independently on structured, task‑based assignments

• Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
• Background in oncology publications, clinical decision support, or medical writing
• Experience across multiple cancer types or therapeutic modalities

• Work directly on frontier AI systems that are transforming how cancer research is understood and conducted
• Influence how AI models reason about real oncology data — at a scale no individual trial could achieve
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, impactful work
• Collaborate with world‑leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch