Remote Oncology AI Researcher & Clinical Trials Expert

Alignerr Corp.; United States; Remote; MXN 1,791,000 - 3,326,000; Part time

Job summary

Alignerr is seeking an experienced Oncology Clinical Researcher to shape how AI systems understand oncology data. The role is remote and contract-based, with flexible hours and 10–40 hours per week, ideal for experts who want meaningful, regulated contributions to cancer AI development.

You will design and evaluate trial protocols, analyze complex datasets, and ensure regulatory-grade outputs for FDA/EMA submissions. The position offers autonomy and global collaboration with top researchers.

Qualifications

• Experience designing and managing oncology clinical trials from protocol through data readout.
• Strong track record in analysing oncology data including endpoints, safety signals and biomarkers.
• Familiarity with regulatory submission standards (FDA/EMA).
• Ability to review AI-generated oncology content for clinical accuracy and regulatory alignment.

Responsibilities

• Design and evaluate oncology clinical trial protocols including enrollment criteria, endpoints and regulatory expectations.
• Analyze cancer trial data for safety, efficacy, and biomarker results to assess treatment performance.
• Translate trial findings into regulatory and scientific outputs aligned with FDA/EMA standards.
• Review AI-generated oncology content for clinical accuracy and scientific validity.
• Identify gaps and limitations in how AI models interpret oncology research and provide expert feedback.

Skills

Oncology clinical trial design

Data analysis

Regulatory submissions (FDA/EMA)

AI evaluation

Biomarker analysis

Education

Advanced degree in oncology or related field

Job description

Alignerr is seeking an experienced Oncology Clinical Researcher to shape how AI systems understand oncology data. The role is remote and contract-based, with flexible hours and 10–40 hours per week, ideal for experts who want meaningful, regulated contributions to cancer AI development.

You will design and evaluate trial protocols, analyze complex datasets, and ensure regulatory-grade outputs for FDA/EMA submissions. The position offers autonomy and global collaboration with top researchers.