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 the next generation of tools used by researchers, clinicians, and regulators worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, trial insights, and regulatory knowledge are accurately reflected in frontier AI systems.

This is a fully remote, flexible contract role. No AI background needed — 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

- Design and evaluate oncology clinical trial protocols, including patient enrollment strategies and regulatory compliance standards
- Analyze cancer trial data — safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance
- Translate trial outcomes into transparent regulatory and scientific narratives aligned with FDA, EMA, and international standards
- Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment
- Help shape how AI models reason about real oncology evidence, trial design, 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 background in analyzing oncology endpoints, safety data, and biomarker results
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you hold AI-generated content to the same standards as a peer-reviewed submission
- Comfortable working independently on structured, task-based assignments
- No prior AI or data annotation experience required

Nice to Have

- Experience with data annotation, data quality review, or evaluation systems
- Background in translational oncology, precision medicine, or biomarker research
- Familiarity with clinical data management systems or electronic data capture platforms
- Prior involvement in regulatory submissions or scientific publications

Why Join Us

- Work directly on frontier AI systems transforming how the world understands cancer research
- 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 interpret and apply real oncology science at a global scale
- Collaborate with world-leading AI research labs on high-impact projects
- Potential for ongoing work and contract extension as new projects launch

📌 Oncology Clinical Researcher (Canada)
🏢 Alignerr
📍 Canada