Research Intern (Flow Matching models)

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.

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

Please submit your CV in English

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.

• 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.

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

• Flexible work organization

• Friendly and informal working environment

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

• 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.

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