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Oncology Clinical Researcher

$40-80/hrRemoteFreelanceSTEM

About the Role

What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that researchers, clinicians, and drug developers rely on worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring the models powering tomorrow's cancer research are grounded in accurate, clinically valid, and regulatory-aligned science.

This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.

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

What You'll Do

  • Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
  • Apply your trial design expertise to assess study protocols, patient enrollment logic, and compliance with ethical and regulatory standards
  • Analyze AI outputs related to cancer trial data — including safety profiles, efficacy endpoints, and biomarker findings
  • Evaluate AI-generated regulatory and scientific reporting against FDA/EMA submission standards
  • Provide structured, expert feedback that directly improves how frontier AI systems reason about oncology
  • Work independently and asynchronously — fully on your own schedule

Who You Are

  • Experienced in designing and managing oncology clinical trials from protocol development through data readout
  • Strong background in analyzing oncology clinical data — including endpoints, safety profiles, and biomarkers
  • Familiar with regulatory submission standards for agencies such as the FDA or EMA
  • Detail-oriented, methodical, and capable of delivering clear, well-reasoned evaluations
  • Able to translate complex clinical and scientific knowledge into structured, actionable feedback

Nice to Have

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

Why Join Us

  • 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 reason about real oncology data at the cutting edge of science
  • Collaborate with world-leading AI research teams and labs
  • Potential for ongoing work and contract extension as new projects launch