About us

Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.

Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).

Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

About the role:

As an ML research scientist at Owkin, you will have the opportunity to improve medical research using state-of-the-art machine learning algorithms. In particular, you will develop and apply agent-based approaches on large volumes of multimodal patient data to fuel Owkin’s operating system for target and drug discovery. 

You will join the Frontier Research group to participate in long-term research programs on ambitious scientific challenges around the design of AI agents tailored to answer reliably to complex biology analysis requests. In this role, working with interdisciplinary teams, your unique expertise will help to develop agentic pipelines that will identify new drugs faster and more effectively.

In particular, you will:

• Drive the application and development of advanced machine learning methods to advance Owkin’s therapeutic platform
• Maintain a regular scientific watch in machine learning related fields;
• Conduct methodological research in key areas to unlock novel applications, including writing scientific publications and patents.

About you

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious and detail-attentive; thrive in a dynamic, fast-paced environment; and be fun to work with.

And

• Demonstrated expertise in one of the following fields or related machine learning field, including scientific publications at top ML conferences (NeurIPS, ICML, …):
• LLMs / genAI
• Optimisation
• Sequential Learning
• Strong analytical skills;
• Good command of coding in python and strong grasp of programming best practices
• Passionate about the intersections of healthcare and AI
• PhD in Computer Science-related field (machine learning, applied mathematics, computer science) or equivalent experience;
• Experience with deep learning frameworks (Tensorflow, PyTorch, Jax, etc.) : you have already worked with one of these frameworks for one of your projects
• Excellent written and oral communication skills; English proficiency
• Highly organized and meticulous about details; capable of tackling complex problems logically and effectively; fun to work with; honest; excited to work hard in a dynamic, fast-paced environment;

Preferred qualifications/bonus:

• Post-doctoral or industrial experience;
• Expertise in one of the following subjects, or related ones: reinforcement learning, bayesian optimization, optimal experimental design, agents, optimal transport;
• Experience in target discovery, drug discovery or related activities, with demonstrated impact (high profile publication or industrial application);
• Experience in causality / response to treatment;
• Experience managing multi-stakeholder research projects;
• Experience training large deep learning models;
• Publications in high-impact journals and conferences;

Please submit your CV in English

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. Unfortunately, being a coveted workplace means we are 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 though 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/

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