Oncology Clinical Researcher (AI Training)

Role Overview

Imagine leveraging your extensive oncology clinical trial expertise to shape AI's comprehension and reasoning in cancer research—potentially transforming cancer diagnosis and treatment tools in the future. Alignerr seeks seasoned Oncology Clinical Researchers to infuse real-world clinical precision into innovative AI systems trained on oncology datasets, ensuring adherence to scientific, regulatory, and clinical standards essential to cancer research.

This contract position offers complete remote work flexibility with no prior AI knowledge required, only profound oncology insight and meticulous attention to clinical accuracy.

Key Responsibilities

• Develop and appraise protocols for oncology clinical trials, addressing patient recruitment, compliance with regulations, and upholding ethical practices.
• Examine cancer trial datasets, focusing on safety metrics, treatment efficacy, and biomarker analyses to evaluate therapeutic outcomes.
• Interpret trial findings within regulatory and scientific contexts aligned with FDA, EMA, and leading global authorities.
• Critically review AI-derived oncology analytics for clinical precision, scientific validity, and conformance with regulatory standards.
• Identify and report inaccuracies, deficiencies, or misrepresentations within AI-generated outputs pertaining to cancer research and clinical trial procedures.
• Operate independently and asynchronously under a flexible schedule with 10 to 40 hours weekly commitment.

Candidate Profile

• Demonstrated experience managing and designing oncology clinical trials throughout various stages from protocol to data analysis.
• Proficient in analyzing oncology trial data including endpoints, safety profiles, and biomarkers.
• Knowledgeable about regulatory requirements for submissions to agencies such as the FDA and EMA.
• Detail-focused with a methodical and rigorous scientific evaluation approach.
• Effective at clearly communicating complex clinical information in writing.
• AI or technology experience is not necessary.

Additional Advantages

• Background in data annotation, quality assurance, or evaluation of clinical datasets.
• Experience in translational oncology or clinical operations roles.
• Contributions to peer-reviewed journals or regulatory documentation.
• Familiarity with AI tools or clinical informatics platforms is a plus.

Benefits

• Engage directly with pioneering AI systems aimed at advancing cancer research understanding.
• Impact the reasoning methods AI uses for real oncology data—a unique and valuable opportunity.
• Fully remote work with flexible hours adapting to your preference.
• Maintain freelance independence while contributing meaningful and high-impact assignments.
• Collaborate with top-tier AI researchers and laboratories worldwide.
• Possibility of contract renewal based on new project availability.