Job Description & How to Apply Below
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
- 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 clear 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
- 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
- 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
- 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
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