Oncology Clinical Researcher

Alignerr; Adelaide; Remote; AUD 96,000 - 165,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher (AI Training) to rigorously review AI-generated oncology content and ensure scientific accuracy for real-world trial data. This remote hourly contract role values deep oncology expertise and independent work style.

You will guide AI outputs across protocol design, safety, and regulatory alignment, contributing to frontier AI in medicine with flexible hours.

Qualifications

• Proven experience designing and managing oncology trials.
• Strong analytics on trial endpoints and biomarkers.
• Familiar with FDA/EMA regulatory submissions.
• Able to work independently and remotely.

Responsibilities

• Review and evaluate AI-generated oncology content for accuracy and rigor.
• Apply clinical trial design expertise to assess AI outputs.
• Analyze AI-driven interpretations of trial data and biomarkers.
• Evaluate regulatory reporting against FDA/EMA standards.
• Provide structured feedback to shape AI models.
• Work independently and asynchronously on own schedule.

Skills

Oncology trials

Regulatory alignment

Data analysis

Biomarkers

Clinical design

Education

MD/PhD in Oncology

Tools

AI tools

Regulatory databases

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 world's 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