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Salary
$108k – $223k per year (Estimated)
Location
In office (Paris)
Seniority
Senior · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
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Owkin is a French biotechnology company founded in 2016 that applies machine learning to hospital data for cancer research. It pioneered federated learning across hospital networks so models can learn from patient data that never leaves each institution, and it develops diagnostics and drug discovery programmes from those insights. The company partners with pharmaceutical firms and academic medical centres across Europe and the United States.

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 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

  • Please complete the form and submit your CV.

  • 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.

  • Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:

  • Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.

  • Communication is always through an official Owkin email address (from the @ owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).

  • The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @ Owkin.com.

  • The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;

  • Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger

  • Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,

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