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Oncology Clinical Researcher

$40-80/hrRemoteFreelanceSTEM

About the Role

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

What You'll Do

  • 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

Who You Are

  • 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

Nice to Have

  • 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

Why Join Us

  • 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