Oncology Clinical Researcher

About the Role

Envision harnessing your in-depth knowledge of cancer clinical trials to directly influence the comprehension and reasoning of AI systems in oncology, ultimately shaping the future landscape of cancer research and therapy on a global scale.

We are seeking skilled Oncology Clinical Researchers to infuse cutting-edge AI development with rigorous scientific and regulatory expertise. Collaborate with top AI research teams to guarantee that oncology data guiding next-generation AI models maintains clinical precision, regulatory adherence, and scientific excellence.

This fully remote and flexible contract position offers experienced oncology professionals the opportunity to contribute meaningfully to transformative projects at their own pace.

Responsibilities

• Develop and assess oncology clinical trial protocols, applying knowledge in patient recruitment, study design, and regulatory compliance to support AI training processes.
• Evaluate cancer trial datasets, including safety assessments, effectiveness endpoints, and biomarker analyses, to determine treatment outcomes and clinical significance.
• Convert clinical trial results into clear and structured regulatory and scientific documentation, consistent with FDA and EMA submission standards.
• Critically review AI-generated clinical insights to verify their accuracy, scientific soundness, and compliance with regulatory requirements.
• Ensure AI-driven analyses of oncology data mirror real-world clinical practices and regulatory frameworks.
• Operate independently with flexible scheduling, working asynchronously without direct supervision.

Qualifications

• Proven experience managing oncology clinical trials from initial protocol creation through data analysis.
• Strong proficiency in interpreting clinical oncology data encompassing primary and secondary efficacy metrics, safety data, and biomarkers.
• Familiarity with submission procedures and regulatory standards of bodies like the FDA and EMA.
• Detail-driven and meticulous, maintaining the same rigorous standards for AI outputs as applied to live clinical research.
• Self-directed with the ability to work autonomously without daily oversight.

Additional Assets

• Previous involvement in data annotation, quality control, or AI model evaluation.
• Experience in oncology-specific regulatory affairs or clinical operations.
• Background in drafting or reviewing clinical reports, IND/NDA submissions, or scientific publications.
• Practical knowledge of AI tools or evaluation platforms as a user.

Benefits

• Engage with pioneering AI technologies revolutionizing cancer research globally.
• Flexible remote work arrangement allowing you to set your schedule.
• Enjoy freelance independence with impactful scientific contributions.
• Opportunity to influence AI systems shaping clinical decision-making and cancer therapies worldwide.
• Potential for contract extensions as new initiatives develop.