owkin · Paris
Skills: Python, AWS, Docker
ABOUT US Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity. K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners. Position is based in our Paris office or remotely in France, UK, Germany. Please submit your CV in English ABOUT THE ROLE: We are seeking a driven Research Scientist with hands-on expertise in Foundation Models (FMs) and Multimodal AI to help drive the next phase of our machine learning platform. In this role, you will bridge cutting-edge AI research and practical application. Rather than training massive base models from scratch, your focus will be on fine-tuning, adapting, and aligning open-weights foundation models across diverse data modalities (e.g. structured tabular data, single-cell scRNA-seq, image representations, and natural language) to build multimodal systems. IN PARTICULAR, YOU WILL BE RESPONSIBLE FOR: - Model adaptation and optimization: Adapt, fine-tune, and evaluate state-of-the-art open-source foundation models (e.g., domain-specific transformers, vision-language models) using fine-tuning and transfer learning strategies. - Multimodal integration: Design and implement cross-modal alignment architectures (e.g., contrastive learning, projection heads, unified embedding spaces) to fuse structured, sequential, and text/image data layers. - Pipeline and evaluation engineering: Build rigorous, domain-tailored benchmarking frameworks and evaluation pipelines to validate model reliability, generalization, and downstream task performance. - Applied R&D collaboration: Work closely with cross-functional t…
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