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 one of medicine's most complex fields? We're looking for Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development — ensuring that the models influencing the future of cancer care are grounded in accurate, clinically sound knowledge.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to frontier AI research without leaving their domain behind.
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 knowledge of trial design — including protocol development, patient enrollment, and endpoint selection — to assess how well AI captures real-world oncology research standards
Analyze and interpret cancer trial data outputs, including safety profiles, efficacy results, and biomarker findings, to identify errors or gaps in AI reasoning
Evaluate AI-generated regulatory and scientific reports against FDA, EMA, and ICH standards
Provide structured, expert feedback that directly improves how AI models understand oncology data and clinical decision-making
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 analytical background in oncology clinical data, including endpoints, safety, and biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented with a methodical approach to evaluating complex scientific content
Comfortable working independently in a remote, task-based environment
Nice to Have
Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in translational oncology or clinical-regulatory writing
Experience with biomarker-driven trial design or precision oncology
Familiarity with AI tools or content evaluation platforms
Why Join Us
Work directly on frontier AI systems that are transforming how cancer research is conducted
Influence how the next generation of AI models understands real oncology data, clinical standards, and regulatory science
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-level work
Collaborate with world-leading AI research teams and labs
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes