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Oncology Clinical Researcher

Job in Québec, Province de Québec, Canada
Listing for: Alignerr Corp.
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
  • Research/Development
Job Description & How to Apply Below
Oncology Clinical Researcher (AI Training)   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
What You'll Do     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

Who You Are     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
Nice to Have     

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
Why Join Us     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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