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 and clinicians worldwide?
We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll evaluate, validate, and improve AI-generated oncology content — ensuring that the systems being built today reflect the clinical, regulatory, and scientific standards that matter most in cancer care.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — 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, scientific soundness, and regulatory alignment
- Apply your expertise in trial design — protocols, patient enrollment, endpoints, and safety monitoring — to assess the quality of AI outputs
- Analyze AI-generated interpretations of cancer trial data, including efficacy results, safety profiles, and biomarker findings
- Assess whether AI-generated regulatory and scientific language meets the standards expected for FDA/EMA submissions and clinical publications
- Identify gaps, errors, and areas where AI reasoning about oncology falls short of real-world clinical standards
- Provide structured, detailed feedback that directly informs how frontier AI models are trained and refined
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Who You Are
- Experienced in designing and managing oncology clinical trials — from protocol development through data readout
- Strong background in analyzing oncology clinical data, including primary and secondary endpoints, safety profiles, and biomarker results
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you notice when clinical reasoning doesn't hold up
- Able to communicate complex oncology concepts clearly and precisely in writing
- Comfortable working independently and asynchronously
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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 medical writing
- Familiarity with AI tools or content evaluation platforms
- Experience contributing to clinical publications or regulatory dossiers
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is conducted
- Influence how AI models understand and reason about real oncology data — at the ground level
- 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
“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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