Remote Oncology AI Trials Scientist

Alignerr; Wellington; On-site; NZD 83,000 - 152,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape AI training with rigor from real-world oncology trials. You will design protocols, assess safety and endpoints, and ensure regulatory alignment during iterative AI development.

You’ll work remotely on a flexible schedule, 10–40 hours per week, contributing to high-stakes cancer research initiatives and collaborating with leading AI and clinical teams worldwide.

Qualifications

• Experience designing and managing oncology clinical trials from protocol development through data readout.
• Strong background in analyzing clinical oncology data including endpoints and biomarkers.
• Familiarity with regulatory submission standards (FDA/EMA).
• Detail-oriented with rigorous standards for AI outputs.

Responsibilities

• Design and evaluate oncology clinical trial protocols — bringing your expertise in patient enrollment, regulatory compliance, and study design to AI training workflows
• Analyze cancer trial data including safety profiles, efficacy endpoints, and biomarker results to assess treatment performance and clinical relevance
• Translate trial outcomes into clear regulatory and scientific frameworks aligned with FDA/EMA submission standards
• Review and critique AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
• Help ensure that AI systems reasoning about oncology data reflect real-world clinical and regulatory standards
• Work independently and asynchronously — fully on your own schedule

Skills

Oncology trials design

Data analysis

Regulatory compliance

Independent work

Job description

Alignerr is seeking an Oncology Clinical Researcher to shape AI training with rigor from real-world oncology trials. You will design protocols, assess safety and endpoints, and ensure regulatory alignment during iterative AI development.

You’ll work remotely on a flexible schedule, 10–40 hours per week, contributing to high-stakes cancer research initiatives and collaborating with leading AI and clinical teams worldwide.