---
title: 'Senior AI Scientist at Owkin'
canonical: 'https://feeny.ai/job/senior-ai-scientist-owkin-united-kingdom-hv9xqtx74hk0'
type: 'job'
last_seen: '2026-09-13'
---

# Senior AI Scientist at Owkin

- **Company:** Owkin
- **Location:** United Kingdom
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-19
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/owkin/ca1a3d15-8e59-4a6d-8256-20a01c6ec715

## Job description

## 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](http://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](http://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,

- Check the identity of the talent team on LinkedIn
- Check our senior team on our website https://owkin.com/team/
- Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities
- Notify Owkin's recruitment unit at this address hiring@owkin.com
- contact the following authorities:
- [FR] https://internet-signalement.gouv.fr/
- [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime
- [US] https://reportfraud.ftc.gov/

## About Owkin

## Company Overview
- **One-liner**: Owkin is building an autonomous AI Scientist to automate biopharma R&D and support clinical research, aiming for Biological Artificial Superintelligence.
- **Entity Type**: Private (venture-backed; raised $304M from leading biopharma companies and venture funds)
- **Headquarters**: Paris, France (with offices in Boston, New York, London, Nantes, Geneva, and Berlin)
- **Founded**: 2016
- **Founders**: Thomas Clozel, MD (clinical oncologist) and Gilles Wainrib, PhD (machine learning pioneer)

## Core Business
- **Primary industries**: AI-driven drug discovery, diagnostics, and biomedical research
- **Target customers**: Biopharma companies (top 8 global biopharmas), clinical researchers, and oncology specialists (B2B, enterprise)
- **Mission**: To build an autonomous AI Scientist that exceeds human performance across life science domains, enabling faster and smarter drug discovery decisions

## Products & Services
- **K Pro**: An AI agent connecting research and care, integrating biological large language models, multimodal patient data, and a decade of biomedical AI expertise. It continuously learns from real-world data and clinical validation, evolving toward fully automated R&D.
- **Diagnostics (via spin-out Waiv)**: First-in-class AI diagnostics including:
  - **RlapsRisk® BC**: CE-marked prognostic risk profiling for breast cancer
  - **MSIntuit® CRC**: CE-marked MSI screening for colorectal cancer
  - **BRCAura RUO**: Research-use-only tool to predict germline BRCA1/2 mutations from HR+/HER2- breast cancer images

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: $304 million total funding raised (from Sanofi, BMS, F-Prime Capital, Google Ventures, Bpifrance Large Ventures, among others)
- **Notable Investors/Partners**: Sanofi (AI drug discovery deal), Bristol Myers Squibb (AI drug development), MSD (AI diagnostics), and a Scientific Advisory Board chaired by Prof. Miriam Merad, MD, PhD
- **Growth Signals**:
  - Strategic deals with three of the top global biopharmas
  - 104 academic partners across Canada, USA, France, Germany, Spain
  - Publications in top journals (Nature Medicine, Nature Communications, Hepatology)
  - Team of 200+ (now 357 employees as of latest data) with 20+ PhDs and 23 nationalities

## Competitive Advantages
- **Multimodal patient data network**: The world’s richest multimodal patient data network, trained and validated through a wet lab infrastructure and a global network of leading oncologists and biologists
- **Autonomous AI Scientist vision**: K Pro is designed to achieve true causal understanding of disease, moving beyond pattern recognition to hypothesis generation and automated R&D
- **Deep biopharma partnerships**: Strategic deals with top pharma (Sanofi, BMS, MSD) provide both funding and real-world validation
- **Founder-led and scientifically robust**: Co-founded by a clinical oncologist and a machine learning professor; strong Scientific Advisory Board with high H-index KOLs

## Strategic Focus
- **Current priorities**: Scaling K Pro as the one AI Scientist for biopharma R&D, expanding diagnostic spin-out Waiv, and deepening partnerships with top pharma companies
- **Direction**: Achieving Biological Artificial Superintelligence – an autonomous, self-improving AI system capable of running large parts of drug discovery independently

## Why Work Here
- **Culture**: Values curiosity, care, collaboration, and creativity. Described as a place for people who ask “why?”. Multidisciplinary team spanning machine learning, statistics, medicine, and biology.
- **Remote/Hybrid/Office**: Flexible working options – office, hybrid, and remote. All-company offsites twice a year, regular team offsites, learning sessions, and internal hackathons.
- **Perks**:
  - 35 days vacation plus public holidays
  - Minimum 16 weeks paid parental leave for primary caregivers, 8 weeks for secondary (gender-neutral)
  - Private healthcare coverage tailored to country
  - Opportunity to work from anywhere in the world for up to 4 weeks per year
- **Team composition**: 357 employees, 23 nationalities, 45/55 female/male split (2022 Professional Equality Index score 93/100 in France), 20+ PhDs

## Sources
1. [Owkin.com](https://www.owkin.com/)
2. [Owkin About Us](https://www.owkin.com/about-us)
3. [Owkin Careers](https://www.owkin.com/careers)
4. [Owkin People](https://www.owkin.com/people)
5. [Owkin Hiring (Greenhouse)](https://boards.eu.greenhouse.io/owkin)

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