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 understands and reasons about oncology — influencing research that could one day transform how cancer is diagnosed and treated?

We're looking for experienced Oncology Clinical Researchers to bring rigorous, real-world clinical trial knowledge into cutting-edge AI development workflows. You'll review, evaluate, and inform AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter in practice.

This is a fully remote, flexible contract role built for working oncology researchers and clinical scientists who want to engage with frontier AI on their own terms.

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

• Evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment.
• Apply your expertise in study protocol design, patient enrollment standards, and trial oversight to assess AI outputs against real-world best practices.
• Analyze and interpret cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to identify errors or gaps in AI reasoning.
• Review AI-generated regulatory and scientific content for alignment with FDA, EMA, and international submission standards.
• Provide structured, expert feedback that directly improves how AI models understand and generate oncology knowledge.
• 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 trial data, including primary and secondary endpoints, safety reporting, and biomarker analysis.
• Familiar with regulatory submission standards and documentation requirements for agencies such as the FDA or EMA.
• Detail-oriented and rigorous — you hold AI outputs to the same standards you'd apply in a real clinical or regulatory setting.
• Able to communicate complex clinical findings clearly in written feedback.
• Self-motivated and comfortable working independently in a remote, asynchronous environment.

• Prior experience with data annotation, evaluation systems, or AI quality workflows.
• Background in translational oncology, biostatistics, or clinical pharmacology.
• Experience authoring or reviewing regulatory submissions, clinical study reports, or scientific publications.
• Familiarity with AI tools or clinical decision support systems.

• Work directly on frontier AI systems being developed alongside the world's leading AI research labs.
• Fully remote and flexible — work when and where it suits you, on a schedule you control.
• Freelance autonomy with the substance of meaningful, high-impact work.
• Contribute to AI that could reshape how cancer research is conducted and communicated at a global scale.
• Potential for ongoing work and contract extension as new oncology AI projects launch.