Remote Oncology Clinical Researcher for AI Training

Alignerr Corp.; Chicago (IL); Remote; USD 83,000 - 124,000; Full time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape AI training workflows in oncology. You will design and evaluate cancer trial protocols, analyze safety and efficacy data, and ensure regulatory-grade standards are reflected in AI outputs.

This remote, hourly-contract role offers up to 40 hours/week with flexible scheduling. You’ll collaborate with leading AI research teams to advance cancer care and ensure AI models reason correctly about oncology data.

Qualifications

• Experience designing and managing oncology clinical trials from protocol to data readout.
• Strong ability to analyze oncology endpoints, safety data, and biomarker results.
• Familiarity with regulatory submission frameworks (FDA/EMA) and regulatory standards.
• Detail-oriented approach ensuring AI-generated content meets clinical/regulatory quality.
• Ability to work independently on structured, task-based assignments with high accuracy.

Responsibilities

• Design and evaluate oncology trial protocols, including endpoints and enrollment criteria.
• Analyze cancer trial data — safety, efficacy, and biomarkers — to assess treatment performance.
• Translate trial findings into regulatory and scientific outputs aligned with submission standards (FDA/EMA).
• Review AI-generated clinical insights for accuracy, relevance, and regulatory alignment.
• Provide expert feedback to improve how AI models reason about oncology data.
• Work independently and asynchronously on a flexible schedule.

Skills

Oncology trial design

Data analysis

Regulatory standards

Biomarker interpretation

Job description

Alignerr is seeking an Oncology Clinical Researcher to shape AI training workflows in oncology. You will design and evaluate cancer trial protocols, analyze safety and efficacy data, and ensure regulatory-grade standards are reflected in AI outputs.

This remote, hourly-contract role offers up to 40 hours/week with flexible scheduling. You’ll collaborate with leading AI research teams to advance cancer care and ensure AI models reason correctly about oncology data.