About us

Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster.

This is a six-month internship position is based in our Paris office.

Please submit your CV in English

About the role:

The Computational Drug Discovery team within the Biomedical Department aims at bridging the gap between target discovery and preclinical drug candidates. Blending experts in machine learning, biologics, protein language models and computational chemistry, the team provides solutions in around target tractability, de novo biologics design, cheminformatics, cofolding, etc..

We are looking for a promising research intern to focus on generative approaches, particularly flow matching models. As part of the project, the intern will survey and compare existing approaches, and build workflows that fit our use cases, starting with small molecule generation constrained by binding sites. This internship provides a unique opportunity to study a fast-growing and important field, with clear applications for drug discovery.

In particular, you will:

• Collaborate closely with, and receive mentorship from the other members of the Biomedical team;
• Conduct primary research and numerical validation on your topic of study, including re-usable software implementations;
• Contribute to regular research review;
• Report your detailed findings to the group.

About you

Required qualifications / experience:

We are looking for someone with:

• MSc year 2+ level in machine learning;
• Motivation to work at the intersection of (bio)chemistry, drug discovery and AI
• Excellence in communication and technical writing
• Experience in Linux/Unix-like environments and Python
• Experience with deep learning frameworks (Tensorflow, PyTorch, etc.)
• Fluent in English (spoken and written)
• Authorization to work legally in France

Preferred qualifications/bonus::

• Participation in data science projects and competitions
• Fluency with Git and basic software engineering patterns
• Previous work or projects in cheminformatics, exposure to diffusion models or flow matching models
• Contribution to publications in conferences and journals

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

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

• Check the identity of the talent team on LinkedIn