Senior AI Scientist – Lead AI Scientist

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OWKIN

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Artificial Intelligence • Biotechnology • Pharmaceuticals

Owkin is an AI-driven biomedical company building an autonomous “AI Scientist” (K Pro) to automate and support biopharmaceutical R&D and clinical research. Its platform combines advanced machine learning and foundation models trained on a large multimodal patient data network with wet-lab validation and clinical partnerships to generate biological insights, inform clinical trial and patient/population decisions, and accelerate drug discovery and diagnostics. Owkin also incubates diagnostic spinouts and provides tools and services for data partners, model development, and translational research.

📋 Description

• 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.

🎯 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. • Computational Biology or Chemistry expertise is a big plus. • 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.

🏖️ Benefits

• Flexible work organization • Friendly and informal working environment • Opportunity to work with an international team with high technical and scientific backgrounds