Research Scientist – Foundation Models and Multimodal AI
Owkin · Paris · Germany · France · UK
Bio & Science AIremotemid-level
At a glance
Highlights
- Build multimodal AI systems to decode complex biology for pharma research.
- Drive next phase of ML platform powering K Pro AI scientist.
- Fuse structured, single-cell, image and language data into unified models.
What they offer
- Flexible work organization
- Friendly and informal working environment
- International team with high technical and scientific backgrounds
Ideal candidate
Driven applied researcher with 2-4 years post-degree experience who loves bridging cutting-edge AI with real biology impact and collaborating across teams to ship multimodal systems.
Requirements
- Ph.D. or Master's in Computer Science, Machine Learning, Mathematics or related quantitative field
- 2-4 years post-degree experience applying deep learning and foundation models to complex datasets
- Demonstrated experience adapting and fine-tuning foundation models
- Proven experience with cross-modal representation learning, joint embedding alignment or vision-language models
- Advanced proficiency in Python and modern deep learning frameworks (PyTorch, Hugging Face ecosystem)
- Familiarity with data engineering tools for large-scale multimodal datasets (Parquet, AnnData, HDF5)
- remote policy
- Remote available in France, UK, Germany
- hiring process
- Submit CV via form; interviews with talent and hiring team via phone, in person or Google Meet; verbal and written offer
Lab profile
About Owkin
Agentic AI company pioneering Biological Artificial Superintelligence for pharmaceutical research.
What they build
- K Pro — AI scientist for pharmaceutical research
Known for
- Multimodal patient data network
- Agentic AI for decoding complex biology
- State-of-the-art AI for pharma R&D productivity
Key facts
- Founded in 2016
- Headquartered in Paris and New York
- Backed by Sanofi and Bristol Myers Squibb
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