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Oncology Clinical Researcher (AI Training)
About The Role: What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology - influencing research tools used by scientists and clinicians worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world expertise into AI development workflows. You'll review, evaluate, and improve AI-generated oncology content - ensuring that the models powering tomorrow's cancer research are grounded in rigorous clinical science, regulatory standards, and patient-centered evidence. This is a fully remote, flexible contract role. No AI background required - just deep oncology expertise and a sharp eye for clinical accuracy.
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, regulatory alignment, and scientific rigor
  • Apply your expertise in trial design - protocols, patient enrollment, endpoints, and ethics - to assess how well AI captures real-world standards
  • Analyze AI outputs related to cancer trial data, including safety profiles, efficacy results, and biomarker interpretation
  • Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH standards
  • Flag errors, gaps, or misleading outputs and provide structured, expert feedback
  • 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 - endpoints, safety profiles, biomarkers, and statistical outputs
  • Familiar with regulatory submission standards for agencies such as the FDA or EMADetail-oriented with a systematic approach to evaluating complex scientific content
  • Comfortable working independently and delivering high-quality written feedback
  • No prior AI or tech experience required
Nice to Have:
  • Experience with data annotation, data quality review, or evaluation systems
  • Background in translational oncology, biomarker research, or precision medicine
  • Familiarity with clinical trial phases across solid tumors or hematologic malignancies
  • Prior involvement in regulatory submissions, publications, or clinical guideline development
Why Join Us:
  • Work directly on frontier AI systems transforming the future of cancer research
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-stakes scientific work
  • Shape how AI models understand real oncology data - a direct, tangible contribution to the field
  • Collaborate with leading AI research teams and labs on cutting-edge projects
  • Potential for ongoing work and contract extension as new projects launch

Also on the board Same function, level within a rung

Level

Senior

Location

South Milwaukee, WI

Occupation

Clinical Research Coordinators

Industry

Research and Development in the Physical, Engineering, and Life Sciences

Posted

today

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