Oncology Clinical Researcher

Alignerr Corp.

Adelaide

Remote

AUD 83,000 - 138,000

Part time

5 days ago
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Job summary

Alignerr is seeking an experienced Oncology Clinical Researcher to guide AI training and evaluation of oncology trial data, with emphasis on regulatory standards and scientific rigor. This fully remote, hourly contract role offers flexible scheduling.

You will review AI-generated content, advise on protocol design, enrollment, safety, endpoints, and biomarkers, and provide structured feedback to help AI models reason about real-world cancer data.

Qualifications

  • Extensive experience in oncology clinical trial design from protocol to data readout.
  • Strong analytics of oncology data: endpoints, safety, biomarkers.
  • Familiar with FDA/EMA regulatory submission standards.
  • Ability to translate clinical knowledge into clear evaluations.

Responsibilities

  • Review AI-generated oncology content for clinical accuracy and regulatory alignment.
  • Apply protocol development and enrollment expertise to assess AI outputs.
  • Analyze AI interpretations of trial data: safety, endpoints, biomarkers.
  • Evaluate AI reporting against FDA/EMA submission standards.
  • Provide expert feedback shaping how AI models understand oncology data.
  • Work independently and asynchronously on your own schedule.

Skills

Oncology trials
Regulatory knowledge
Data analysis
Biomarkers
Trial design

Job description

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 one day impact millions of patients?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, guide, and improve how advanced AI systems handle oncology trial data, regulatory standards, and clinical decision-making - ensuring the science is right.

This is a fully remote, flexible contract role built for 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
  • Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
  • Apply your expertise in clinical trial design - including protocol development, patient enrollment, and compliance standards - to assess AI outputs
  • Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results
  • Evaluate the quality and accuracy of AI-produced regulatory and scientific reporting against FDA/EMA submission standards
  • Provide structured, expert feedback that directly shapes how AI models understand real-world oncology 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 - endpoints, safety profiles, and biomarkers
  • Familiar with regulatory submission standards for agencies such as the FDA or EMA
  • Detail-oriented and capable of translating deep clinical knowledge into clear, structured evaluation
  • Comfortable working independently without close supervision
Nice to Have
  • Prior experience with data annotation, data quality assurance, or AI evaluation workflows
  • Background in translational oncology or biomarker research
  • Experience contributing to peer-reviewed publications or regulatory dossiers
  • Familiarity with AI tools or clinical informatics platforms
Why Join Us
  • Work directly on frontier AI systems being built alongside the worlds leading AI research labs
  • Shape how AI models reason about real oncology science - your expertise has direct, tangible impact
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the intellectual depth of meaningful, high-stakes scientific work
  • Potential for ongoing work and contract extension as new projects launch
  • Collaborate with a global network of domain experts pushing the boundaries of AI in medicine
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