Remote Oncology Clinical Researcher for AI Training

Alignerr Corp.; Toronto; On-site; CAD 14,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Job summary

Alignerr is seeking an Oncology Clinical Researcher to provide deep expertise in oncology trials for AI training and validation. You will design and review trial protocols, endpoints, safety data, and regulatory considerations to shape how AI systems interpret real-world cancer data.

The role is fully remote, hourly, with flexible weekly hours (10–40) and potential for extended engagement. You will collaborate with AI research teams to ensure rigorous clinical standards and regulatory alignment.

Qualifications

• Experienced in designing and managing oncology clinical trials — from protocol development through data readout.
• Strong background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers.
• Familiar with regulatory submission standards for agencies such as the FDA or EMA

Responsibilities

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs
• Analyze how AI handles cancer trial data, including safety profiles, efficacy results, and biomarker findings
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how AI models reason about real-world oncology
• Work independently and asynchronously — fully on your own schedule

Skills

Oncology clinical trial design

Regulatory alignment

Clinical data analysis

Job description

Alignerr is seeking an Oncology Clinical Researcher to provide deep expertise in oncology trials for AI training and validation. You will design and review trial protocols, endpoints, safety data, and regulatory considerations to shape how AI systems interpret real-world cancer data.

The role is fully remote, hourly, with flexible weekly hours (10–40) and potential for extended engagement. You will collaborate with AI research teams to ensure rigorous clinical standards and regulatory alignment.