Research Engineer in Generative AI and Multi-Agent Systems for Oncology

This position at Institut Curie’s AGORA project seeks a Research Engineer to design and validate the first agentic AI platform dedicated to biomedical research and precision oncology. The role involves creating multi-agent architectures that integrate large language models, biomedical knowledge bases, and bioinformatics tools to assist molecular interpretation and generate novel research hypotheses. The successful candidate will collaborate across disciplines, including AI, bioinformatics, systems biology, and clinical oncology, within a highly interdisciplinary team of 100+ researchers. The project aims to revolutionize AI-assisted scientific discovery in oncology, offering significant scientific autonomy and opportunities for high-impact publications.

• Design and develop multi-agent architectures tailored for biomedical applications, integrating LLMs, knowledge bases, and bioinformatics tools.
• Evaluate and benchmark generative AI frameworks, focusing on response quality, explainability, robustness, and reliability in oncology contexts.
• Develop workflows combining multi-step reasoning, RAG, bioinformatics tools, and predictive AI models for biomedical data analysis.
• Connect AI agents with biomedical knowledge bases, analysis pipelines, and high-performance computing (HPC) resources.
• Define and implement evaluation protocols to assess the performance and trustworthiness of AI-assisted systems.
• Collaborate closely with biologists, clinicians, bioinformaticians, and data engineers to translate exploratory ideas into reusable solutions.
• Contribute to scientific publications and future research projects in AI-driven precision oncology.