Live opening · Posted 5 days ago

Oncology Clinical Researcher

Alignerr · Glasgow, Scotland, United Kingdom (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyAlignerr
LocationGlasgow, Scotland, United Kingdom (Remote)
Salary$40/hr - $80/hr
Work modeYes
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Oncology Clinical Researcher (AI Training)
About The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about one of medicine's most complex and high-stakes fields? We're looking for an Oncology Clinical Researcher to bring real-world expertise into the AI development process — ensuring that the models transforming cancer research are grounded in rigorous clinical science.
This is a fully remote, flexible contract role. No prior AI experience needed — just a strong command of oncology trial design, data analysis, and regulatory standards.
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 criteria, study endpoints, and regulatory compliance frameworks
Analyze cancer trial data — covering safety profiles, efficacy results, and biomarker findings — to assess treatment performance and clinical relevance
Translate complex trial outcomes into clear, structured outputs aligned with FDA, EMA, and other regulatory submission standards
Review and evaluate AI-generated oncology content for scientific accuracy, clinical validity, and regulatory alignment
Identify gaps, errors, and inconsistencies in how AI models interpret and represent oncology research
Who You Are
Experienced in designing and managing oncology clinical trials from protocol development through data readout
Strong analytical background in oncology data — including endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and methodical, with a commitment to scientific rigor
Able to work independently and deliver consistent, high-quality evaluations
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation workflows
Background in translational oncology or clinical pharmacology
Experience contributing to peer-reviewed publications or regulatory dossiers
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 leading AI research labs and teams at the cutting edge of medical AI
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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