Alignerr
Oncology Clinical Researcher
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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 reasons about oncology — influencing the systems that will transform how we research, diagnose, and treat cancer?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and validate AI-generated oncology insights, ensuring that the models being built by the world's leading AI labs are grounded in genuine scientific, regulatory, and clinical expertise.
This is a fully remote, flexible contract role. If you've spent years designing trials, interpreting endpoints, and navigating regulatory submissions — this is a rare opportunity to apply your expertise at the frontier of AI.
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
- Regulatory alignment
- Apply your expertise in trial design (including protocol development, patient enrollment frameworks, and compliance standards) to assess and improve AI outputs
- Analyze AI-generated interpretations of cancer trial data, including:
- Efficacy endpoints
- Safety profiles
- Biomarker results
- Evaluate whether AI-produced regulatory and scientific content meets standards for FDA/EMA submissions and clinical decision-making
- Provide structured, expert feedback to shape frontier AI models' understanding of oncology
- Work independently and asynchronously — fully on your own schedule
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Who You Are
experienced in:
- Designing and managing oncology clinical trials, from protocol development through data readout
- Analyzing oncology clinical data: endpoints, safety profiles, and biomarkers
- Regulatory submission standards for agencies such as FDA or EMA
Must-Have Skills
- Detail-oriented and methodical — holds clinical outputs to a high standard
- Comfortable evaluating complex scientific content and articulating clear, reasoned feedback
- No prior AI experience required — clinical expertise is what matters
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Nice to Have
- Experience with:
- Data annotation
- Data quality evaluation workflows
- Translational oncology or biomarker research
- Background in contributing to regulatory submissions or clinical publications
- Familiarity with AI tools or content evaluation platforms (end-user level)
Why Join Us
- Work directly on frontier AI systems transforming cancer research
- Influence how AI models understand real oncology data — your expertise leaves a lasting mark
- Fully remote with flexible scheduling
- Freelance autonomy with expert-level, meaningful work
- Collaborate with a global network of specialists across medicine and science
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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