Senior AI Scientist

OWKIN

Berlin

Vor Ort

EUR 90.000 - 140.000

Vollzeit

vor 36 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Flexible work organization
Friendly and informal working env.
International team with high technical

Zusammenfassung

Owkin in Berlin is seeking a visionary ML/AI Scientist to co-lead the development of an autonomous agentic AI scientist for drug discovery, collaborating with Platform Biology and Product teams.

You will design agents capable of multi-step reasoning, bridge AI with wet-lab workflows, and push rapid prototyping to production-grade code. Fluency in English required; French a plus. Join a cutting-edge company advancing life-saving therapeutics.

Qualifikationen

  • PhD in Computer Science, ML, or Applied Mathematics (or equivalent high-level industry experience).
  • Expert-level Python skills with a focus on building modular code interfacing with APIs/databases.
  • Fluent in English; French is a plus.
  • Ability to explain complex agent behaviors to AI peers and biological experts.

Aufgaben

  • Architect agentic systems enabling multi-step reasoning, tool use, and self‑correction.
  • Bridge AI and wet-lab workflows to propose hypotheses and design optimal experiments.
  • Rapidly prototype and iterate on agentic architectures toward production-grade code.
  • Publish high-impact research at the intersection of AI, Biology and Chemistry.

Kenntnisse

Agentic AI
Python
LLM reasoning
Multi-step reasoning
Tool augmented generation
Collaborative mindset

Ausbildung

PhD in CS/ML/Math

Tools

APIs
Databases
Python

Jobbeschreibung

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…)
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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