Alignerr
Oncology Clinical Researcher
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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 evaluate, guide, and improve how advanced AI systems interpret oncology trial data — ensuring the science is accurate, the regulatory grounding is solid, and the clinical reasoning actually holds up.
This is a fully remote, flexible contract role built for clinical professionals who want to do meaningful work on their own schedule.
- 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, regulatory alignment, and scientific validity
- Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, endpoint selection, and compliance standards
- Analyze AI interpretations of cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — and flag errors or gaps
- Evaluate how well AI-generated insights reflect real-world regulatory standards for agencies such as the FDA and EMA
- Translate your clinical and scientific judgment into structured, actionable feedback that directly improves AI model training
- Work independently and asynchronously on task-based assignments — 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
- Strong command of oncology clinical data analysis — including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you notice when clinical reasoning doesn't hold up
- Able to communicate complex scientific assessments clearly in writing
- Comfortable working independently without hand-holding
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Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in oncology drug development, translational research, or regulatory affairs
- Experience writing or reviewing clinical study reports, protocols, or regulatory submissions
- Familiarity with AI tools or content evaluation platforms as an end user
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is understood and applied
- Influence how AI models reason about real oncology data — your expertise shapes the science
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
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