Oncology Clinical Researcher

Alignerr Corp.

Glasgow

Remote

GBP 55,000 - 96,000

Full time

4 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Task-based freelance work

Job summary

Alignerr Corp. is seeking an Oncology Clinical Researcher to guide AI training with deep oncology trial expertise. This fully remote, hourly contract role focuses on bringing real-world clinical science into AI development for cancer research.

The candidate will design and evaluate protocols, analyze trial data, and ensure regulatory alignment for AI-derived outputs. Strong independence and rigor are essential.

Qualifications

  • Experience in designing and managing oncology clinical trials from protocol development to data readout.
  • Strong analytical background in oncology data, endpoints, safety, and biomarkers.
  • Familiar with regulatory submission standards (FDA/EMA).
  • Detail-oriented and methodical with scientific rigor.
  • Ability to work independently and deliver high-quality evaluations.

Responsibilities

  • Design and evaluate oncology trial protocols, including enrollment criteria, endpoints, and regulatory compliance.
  • Analyze cancer trial data—safety, efficacy, biomarkers—to assess treatment performance and relevance.
  • Translate trial outcomes into outputs aligned with regulatory submission standards (FDA/EMA).
  • Review AI-generated oncology content for scientific validity and regulatory alignment.
  • Identify gaps and inconsistencies in how AI models interpret oncology research.

Skills

Oncology trial design
Data analysis
Regulatory standards
Attention to detail
Independent work

Tools

Data annotation

Job description

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
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