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 research that could impact millions of patients worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor to cutting-edge AI development.
You'll work alongside leading AI research teams to ensure the oncology data and insights powering next-generation AI models reflect genuine clinical, regulatory, and scientific standards. This is a fully remote, flexible contract role — built around your schedule and your expertise.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial protocols, covering patient enrollment, endpoint selection, and regulatory and ethical compliance
- Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and clinical validity
- Translate trial findings into regulatory and scientific frameworks aligned with FDA, EMA, and international submission standards
- Review and evaluate AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory soundness
- Help ensure that AI systems reasoning about oncology data meet the standards expected in real-world research and clinical settings
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Who You Are
- Experienced in designing and managing oncology clinical trials from protocol development through data readout
- Deeply familiar with oncology clinical data analysis — including endpoints, safety monitoring, and biomarker interpretation
- Knowledgeable about regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical, with strong scientific judgment and written communication skills
- Self-motivated and comfortable working independently in a remote, asynchronous environment
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Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in translational oncology, medical writing, or clinical data management
- Familiarity with AI tools or language model evaluation as an end user
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is conducted
- Influence how AI models understand, reason about, and communicate real oncology science
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Collaborate with world-class AI research teams on problems that genuinely matter
- Potential for ongoing work and contract extension as new projects launch
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Jessica, London
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