owkin - Senior AI Scientist/Lead AI Scientist

• Demonstrated Expertise in Agentic AI: Deep understanding of LLM reasoning (Chain-of-Thought, ReAct), long-context management, and tool-augmented generation. • The Hacker Toolkit: Expert-level Python skills with a focus on "building." You should be comfortable writing clean, modular code that interfaces with complex APIs and databases. • Publication Record: History of contributions to top-tier ML conferences (NeurIPS, ICML, ICLR). • Technical Foundation: PhD in Computer Science, Machine Learning, or Applied Mathematics (or equivalent high-level industry experience). • Communication: Ability to explain complex agent behaviors to both AI peers and biological experts. Excellent written and oral communication skills. Fluent in English (French is a plus). • Team first, highly collaborative mindset. • We are especially interested in candidates who bring Computational Biology or Chemistry expertise to the table. • Domain Knowledge: Deep understanding of the "central dogma" data stack—from processing raw sequencing (omics) to interpreting the physics and geometry of macromolecular structures • Closed-loop Discovery: Experience in Active Learning, Bayesian Optimization, or Optimal Experimental Design. • Systems Engineering: Experience training and deploying large-scale models or managing complex multi-agent orchestrations. • Causal Inference: Experience in understanding "response to treatment" or causal discovery in biological systems. • Industry Impact: Proven track record of taking a research concept and turning it into a functional tool used by other scientists.