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Job description
Oncology Clinical Researcher (AI Training)
About the Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology - influencing tools that may one day support researchers, clinicians, and patients worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory expertise into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated clinical insights - ensuring the systems being built today reflect the rigor, nuance, and complexity of real oncology research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely frontier - on their own schedule.
Organization
: Alignerr
Type
: Hourly Contract
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do Design and evaluate oncology clinical trial frameworks - including study protocols, patient enrollment criteria, and regulatory compliance standards
Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance
Translate trial outcomes into clear, structured reporting aligned with FDA/EMA submission standards and clinical decision-making needs
Review and critique AI-generated oncology insights for scientific accuracy, clinical relevance, and regulatory alignment
Identify gaps, errors, and limitations in how AI models interpret and present clinical trial data
Work independently and asynchronously - fully on your own schedule
Who You Are Experienced in designing and managing oncology clinical trials from protocol development through data readout
Strong analytical background in oncology clinical data - including endpoints, safety profiles, and biomarker analysis
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and rigorous - you know when clinical reasoning doesn't hold up
Comfortable working independently on structured, task-based assignments
Nice to Have Prior experience with data annotation, data quality evaluation, or AI output review
Background in translational oncology, clinical pharmacology, or related fields
Experience contributing to regulatory documents, clinical study reports, or publications
Familiarity with AI tools or clinical informatics platforms
Why Join Us Work directly on frontier AI systems being built to understand real-world cancer research
Fully remote and flexible - contribute on a schedule that fits your life
Freelance autonomy with the structure of meaningful, task-based work
Shape how AI models reason about oncology - a domain where accuracy genuinely matters
Collaborate with leading AI research labs and teams at the cutting edge of the field
Potential for ongoing work and contract extension as new projects launch
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.