Remote Oncology Clinical Researcher for AI Training

Alignerr Corp.; Kansas City (MO); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote work

Flexible schedule

Freelance autonomy

Potential ongoing projects

Job summary

Alignerr is seeking an experienced Oncology Clinical Researcher to shape how AI trains on oncology trial data. You’ll ensure rigorous clinical standards for data used in AI development and validation, collaborating with leading AI teams to keep outputs aligned with regulatory expectations.

This fully remote, hourly contract role offers 10–40 hours/week with freelance autonomy while contributing to high-impact cancer research with real-world potential.

Qualifications

• Experienced in designing and managing oncology clinical trials from protocol development through data readout.
• Strong background in analyzing oncology clinical data—endpoints, safety, biomarkers, and statistical outputs.
• Familiar with regulatory submission standards (FDA/EMA).
• Comfortable working independently on structured, task-based assignments.

Responsibilities

• Design and evaluate oncology trial frameworks for AI training workflows.
• Analyze cancer trial data across safety, efficacy, and biomarker endpoints.
• Translate trial outcomes into regulatory and scientific narratives aligned with FDA/EMA submissions.
• Review AI-generated insights and flag inaccuracies to reflect real-world oncology practice.
• Provide expert judgment on how well AI models interpret complex oncology data.
• Work independently and asynchronously on your own schedule.

Job description

Alignerr is seeking an experienced Oncology Clinical Researcher to shape how AI trains on oncology trial data. You’ll ensure rigorous clinical standards for data used in AI development and validation, collaborating with leading AI teams to keep outputs aligned with regulatory expectations.

This fully remote, hourly contract role offers 10–40 hours/week with freelance autonomy while contributing to high-impact cancer research with real-world potential.