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, evaluates, and advances oncology research? We're looking for Oncology Clinical Researchers to bring real-world scientific rigor to cutting-edge AI systems — ensuring the models influencing the future of cancer care are grounded in clinical reality.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule. No AI background required — just deep domain expertise and a sharp eye for clinical quality.
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 expertise in trial design, protocol development, and patient enrollment standards to assess AI outputs
Analyze AI-generated interpretations of cancer trial data — including safety, efficacy, and biomarker results — and flag errors or gaps
Evaluate AI reasoning against real-world regulatory submission standards for agencies such as the FDA and EMA
Provide structured, detailed feedback that directly shapes 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 clinical trial data, including endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical — you catch what others miss in complex clinical data
Able to communicate technical findings clearly in writing
No prior AI or tech experience required
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation systems
Background in translational oncology, precision medicine, or biomarker research
Familiarity with AI tools or clinical decision-support systems as an end user
Experience contributing to peer-reviewed publications or regulatory submissions
Why Join Us
Work directly on frontier AI systems transforming how the world understands and fights cancer
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task-based work
Influence how AI models reason about real oncology data at the highest scientific level
Collaborate with world-leading AI research teams and labs
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes