Oncology Clinical Researcher

Role Overview

Have you ever imagined that your specialized knowledge in cancer clinical trials could directly influence how artificial intelligence comprehends and processes oncology information, thereby enhancing the tools used by researchers and clinicians? We are seeking Oncology Clinical Researchers to infuse real-world clinical expertise into next-generation AI technologies. Your responsibility will be to critically assess, review, and guide AI-created oncology content to ensure it matches the scientific integrity, regulatory compliance, and clinical precision demanded by this field.

This position is fully remote and contract-based with flexible working hours.

Key Responsibilities

• Scrutinize AI-generated oncology content for accuracy, scientific soundness, and adherence to regulatory guidelines.
• Leverage your expertise in designing cancer trials to evaluate AI outputs in accordance with real-world protocol standards, including aspects such as patient recruitment, endpoint determination, and compliance.
• Interpret AI-produced analyses of cancer trial data detailing safety, efficacy, and biomarker results.
• Assess AI-generated regulatory and scientific summaries for alignment with standards required by bodies like the FDA and EMA for submissions and publications.
• Provide comprehensive, structured feedback to refine how AI systems process oncology data.
• Operate independently and asynchronously, managing your schedule autonomously.

Candidate Profile

• Proven experience in developing and overseeing oncology clinical trials from protocol creation through to data evaluation.
• Strong capacity to analyze oncology clinical datasets, including trial endpoints, safety monitoring, and biomarker interpretation.
• Knowledge of regulatory submission frameworks relevant to agencies such as FDA and EMA.
• Meticulous and methodical approach, holding AI content to the same rigorous clinical standards you apply in practice.
• Ability to deliver clear, organized written feedback covering diverse oncology subjects.
• No prior experience with AI or technical roles is necessary.

Preferred Qualifications

• Experience in data annotation, quality control, or AI validation workflows.
• Expertise in translational oncology, pharmacology, or biomarker research.
• History of contributing to peer-reviewed journals or regulatory documents.
• Familiarity with various oncology treatment domains such as solid tumors, hematologic cancers, and immunotherapy.

Why Join This Opportunity

• Contribute directly to cutting-edge AI platforms aiming to revolutionize cancer research.
• Help shape AI understanding and reasoning with authentic oncology data at its core.
• Enjoy fully remote work with schedule flexibility.
• Maintain freelance independence alongside meaningful and impactful tasks.
• Collaborate with leading AI research professionals and laboratories worldwide.
• Prospect of ongoing engagements and contract renewals with upcoming projects.