Job Opportunities API

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. Please submit your CV in English ABOUT THE ROLE: We are looking for a visionary ML/AI Scientist to lead the development of our AI Scientist—an autonomous agentic system designed to navigate the complexities of drug discovery. This role isn't just about training models; it's about building "scientists in a box" that can reason over biological data, design experiments, and autonomously drive therapeutic breakthroughs. Unlike traditional ML roles that focus on single-task optimization, you will be building a meta-researcher. You’ll be at the heart of Owkin’s mission, creating the engine that will discover the next generation of life-saving therapeutics.    IN PARTICULAR, YOU WILL: - Architect Agentic Systems: Design and implement sophisticated AI agents capable of multi-step reasoning, tool-use, and self-correction. - Bridge AI and Wet-Lab: Develop frameworks where agents can propose hypotheses and design "optimal experiments" to be validated in the lab. - Scale the "Hacker" Approach: Rapidly prototype and iterate on agentic architectures, moving from paper to production-grade code with speed and precision. - Scientific Leadership: Maintain a watch on the frontier of GenAI and Agentic workflows, publishing high-impact research at the intersection of AI, Biology and Chemistry.    ABOUT YOU The successful candidate possesses a "hacker spirit"—you don’t just wait for the perfect dataset; you build the tools to find it. You are independent, deeply curious, and obsessed with the idea of automating the scientific method. Core Requirements: - 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. Preferred Qualifications (The "Big Plus") 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.    Ref: #LI-HB1 WHAT WE OFFER - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical