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 systems that may one day transform how cancer is diagnosed and treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research.
This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials and a sharp eye for scientific 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 soundness
Apply your experience in trial design — including protocol development, patient enrollment standards, and compliance — to assess AI outputs against real-world standards
Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results
Evaluate AI-produced regulatory and scientific content against FDA/EMA submission standards and current clinical practice
Provide structured, expert feedback that directly improves how AI models reason about oncology data
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 outcomes
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical, with high standards for scientific accuracy
Able to evaluate complex clinical content and communicate feedback clearly
No prior AI or tech experience required
Nice to Have
Experience with data annotation, data quality review, or AI evaluation workflows
Background in translational oncology or biomarker-driven research
Familiarity with clinical decision support tools or evidence-based medicine frameworks
Experience contributing to regulatory submissions or scientific publications
Why Join Us
Work directly on frontier AI systems being developed alongside the world's leading research labs
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 understand, interpret, and reason about real oncology data
Contribute to work that could genuinely shape the future of cancer research and patient outcomes
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes