Oncology Clinical Researcher

Alignerr Corp.; Auckland; Remote; NZD 83,000 - 124,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to guide AI systems with real-world cancer trial expertise. You will review oncology content for clinical accuracy and regulatory alignment, and contribute to trial-design considerations in protocol development, enrollment, and endpoints.

This fully remote, hourly contract role offers flexible hours (10–40 hours/week) and the opportunity to work with leading AI research teams on frontier cancer research projects.

Qualifications

• Extensive experience designing and managing oncology trials from protocol to readout.
• Strong analytical background in oncology clinical data, including endpoints, safety, and biomarkers.
• Familiarity with regulatory submission standards (FDA/EMA/ICH).
• Detail-oriented with a methodical approach to evaluating complex scientific content.
• Comfortable working independently in a remote, task-based environment.

Responsibilities

• Review and evaluate AI-generated oncology content for clinical accuracy and regulatory alignment.
• Apply trial-design knowledge to assess AI capture of real-world oncology standards.
• Analyze cancer trial data outputs to identify errors or gaps in AI reasoning.
• Evaluate AI-generated reports against FDA, EMA, and ICH standards.
• Provide structured feedback to improve how AI models handle oncology data and decision-making.
• Work independently and asynchronously on your own schedule.

Skills

Oncology trials design

Clinical data analysis

Regulatory familiarity

Remote work

Tools

AI evaluation platforms

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 one of medicine's most complex fields? We're looking for Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development — ensuring that the models influencing the future of cancer care are grounded in accurate, clinically sound knowledge.

This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to frontier AI research without leaving their domain behind.

• 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 validity, and regulatory alignment
• Apply your knowledge of trial design — including protocol development, patient enrollment, and endpoint selection — to assess how well AI captures real-world oncology research standards
• Analyze and interpret cancer trial data outputs, including safety profiles, efficacy results, and biomarker findings, to identify errors or gaps in AI reasoning
• Evaluate AI-generated regulatory and scientific reports against FDA, EMA, and ICH standards
• Provide structured, expert feedback that directly improves how AI models understand oncology data 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 analytical background in oncology clinical data, including endpoints, safety, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented with a methodical approach to evaluating complex scientific content
• Comfortable working independently in a remote, task-based environment

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or clinical-regulatory writing
• Experience with biomarker-driven trial design or precision oncology
• Familiarity with AI tools or content evaluation platforms

Why Join Us

• Work directly on frontier AI systems that are transforming how cancer research is conducted
• Influence how the next generation of AI models understands real oncology data, clinical standards, and regulatory science
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch