Remote Oncology Clinical Researcher for AI Training

Alignerr Corp.; Glasgow; Remote; GBP 83,000 - 165,000; Full time

Benefits offered by this job

Remote work

Freelance autonomy

Flexible hours

Job summary

Alignerr Corp. is seeking an Oncology Clinical Researcher to contribute to AI training by grounding cancer trial science. This fully remote, hourly contract role offers flexible hours (10–40 per week) and the opportunity to shape how AI reasons about oncology data.

You will design and evaluate oncology trial protocols, analyze trial data for safety and efficacy, and ensure regulatory alignment with major agencies such as FDA/EMA. Strong independence and scientific rigor are essential.

Qualifications

• Design and manage oncology clinical trials from protocol development through data readout.
• Strong analytical background in oncology data, including endpoints and biomarkers.
• Familiar with regulatory submission standards (FDA/EMA) and associated guidelines.
• Detail-oriented and methodical, with a commitment to scientific rigor.
• Able to work independently and deliver high-quality evaluations.

Responsibilities

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, study endpoints, and regulatory compliance frameworks.
• Analyze cancer trial data — covering safety, efficacy, and biomarker findings — to assess treatment performance.
• Translate complex trial outcomes into clear outputs aligned with FDA, EMA, and other regulatory submission standards.
• Review and evaluate AI-generated oncology content for scientific accuracy and regulatory alignment.
• Identify gaps, errors, and inconsistencies in how AI models interpret oncology research.

Skills

Oncology trial design

Data analysis

Regulatory standards

Clinical research

Job description

Alignerr Corp. is seeking an Oncology Clinical Researcher to contribute to AI training by grounding cancer trial science. This fully remote, hourly contract role offers flexible hours (10–40 per week) and the opportunity to shape how AI reasons about oncology data.

You will design and evaluate oncology trial protocols, analyze trial data for safety and efficacy, and ensure regulatory alignment with major agencies such as FDA/EMA. Strong independence and scientific rigor are essential.