About us

Owkin is an agentic AI company on a mission to explore complex biology to speed up and scale research for the creation of new treatments and diagnostics for patients. Owkin K, our AI co-pilot combines unparalleled access to multimodal data, cutting-edge AI to understand biology and pioneering agentic AI to achieve Biological Artificial Superintelligence in the future.

Owkin is comprised of a group of specialized companies that work seamlessly together, combining deep expertise with a shared mission to accelerate biological discovery. Owkin K is the technology foundation of our ecosystem, it provides cutting-edge co-pilots incorporating high-quality data infrastructure and AI tools to power breakthroughs for researchers, customers and our companies.

Owkin has raised over $300 million through investments from leading biopharma companies, including Sanofi and BMS, and venture funds like Fidelity, GV and Bpifrance, among others.Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

Please submit your CV in English.

This is a paid internship.

About the role:

At Owkin, we believe the future of healthcare R&D lies at the intersection of science and AI technologies. As a Research Intern in our Data Science team, you will play a pivotal role in shaping and showcasing this future. You will help develop new cutting-edge AI agent technologies applied to biotech challenges by fine-tuning LLMs. Your goal will be to create high quality training data and fine-tune LLMs on a multi-GPU cluster in order to increase its computational biology capabilities.

In this research internship you will likely face several challenges inherent to LLM fine-tuning (such as catastrophic forgetting) and propose novel ideas to mitigate them. You will have autonomy and the opportunity to have a high impact on your project.

You will be part of the Frontier Research team which works on long-term research projects at Owkin. You will be an active member of the team and present research articles on a regular basis. Working closely with other research scientists you will have the opportunity to participate in the creation of a biomedical AI agent.

In particular, you will:

Core Duties

• Perform fine-tuning of LLMs applied to better understand complex biological modalities
• Create and curate high-quality training data
• Participate in the creation of internal benchmarks and evaluate your models on these benchmarks
• Write and submit a research paper
• Document what you learn and build along the way

Other duties

• Integrate fine-tuned models into a dedicated agent and evaluate its performances
• Benchmark existing and competing agents
• Stay up-to-date with the latest literature on LLMs and agents
• Present research papers to the Data science group

About you

Required qualifications / experience:

• Currently pursuing a Master’s degree in Computer Science, AI, mathematics, data science, or related field
• Good programming skills in Python
• Some experience with AI/ML frameworks (Pytorch is preferred)
• Knowledge in machine learning and deep learning methods (e.g. linear models, transformer architecture, gradient descent, vision-language models, …)
• Familiarity with large language models (LLMs). Experience with Anthropic or OpenAI models is a plus
• Basic understanding of AI agents and prompt engineering
• Ability to pick up new technologies quickly
• Good communication skills – can communicate complex scientific topics to a general audience
• Self-motivated and works well independently or in teams

Preferred qualifications/bonus:

• Experience with HuggingFace libraries (transformers, trl, datasets, …)
• Experience working with cloud super-computers (slurm, …)
• Interest in life sciences, biotechnology, or pharmaceuticals
• Experience creating interactive demos or visualizations for non-technical audiences
• Previous projects involving AI-powered tools or applications
• Familiarity with research in machine learning
• Experience tinkering with AI agent frameworks (like LangGraph or smolagents)
• Contributions to open-source projects
• Internal use: #LI-CJ1

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,

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