Senior AI Scientist

F-Prime Capital; Paris; Sur place; EUR 110 000 - 170 000; Plein temps

Avantages offerts par ce poste

Flexible work organization

Friendly and informal environment

International team collaboration

Résumé du poste

Owkin seeks a visionary ML/AI Scientist to co-lead the development of an autonomous AI Scientist for drug discovery, working with Platform Biology and Product teams. You will build a meta-researcher capable of reasoning over biological data and designing experiments to accelerate therapeutics.

The role emphasizes independent work, collaboration, and advancing agentic workflows at the frontier of GenAI and biology. English fluency required; French a plus.

Qualifications

• Demonstrated expertise in agentic AI with multi-step reasoning and tool-augmented generation.
• Expert-level Python skills and ability to write modular, production-ready code.
• PhD in Computer Science, ML, or Applied Mathematics or equivalent industry experience.
• Excellent English communication; French is a plus.
• Strong collaboration and cross-disciplinary teamwork.

Responsabilités

• Architect agentic AI systems capable of multi-step reasoning and self-correction.
• Bridge AI with wet-lab workflows by proposing hypotheses and experimental designs.
• Scale agentic architectures from prototype to production-grade code.
• Provide scientific leadership and publish at the intersection of AI, biology and chemistry.

Connaissances

Agentic AI

Python

LLM reasoning

Communication

Teamwork

Formation

PhD in Computer Science / ML / Applied Mathematics

Outils

APIs

Databases

Description du poste

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.

About the role:

We are looking for a visionary ML/AI Scientist to co-lead the development of our AI Scientist—an autonomous agentic system designed to navigate the complexities of drug discovery, in collaboration with our Platform Biology team and our Product team. This role is about building a "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 a wet-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", e.g., 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.

• 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.

• Publication Record: History of contributions to top-tier journals or ML conferences (NeurIPS, ICML, ICLR) or equivalent online content (e.g. github; patents; etc…).

Ref: #LI-HB1

What we offer

• Flexible work organization

• Friendly and informal working environment

• Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.

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