Job description
About us
Owkin is building the first universal AI Operating System called K to lay the foundation for Biological Artificial Superintelligence (BASI). This OS integrates a suite of AI agents that decode complex biology, accelerate research, and dramatically increase productivity. Acting as copilots, Owkin K agents will automate drug discovery and diagnostics and power next-gen pharma companies.
Owkin’s OS will be powered by the world’s largest federated multimodal patient data network, a robotized lab, leading AGI technologies, and cutting-edge multimodal foundation models and LLMs.
This is not a live job opening, but by registering your interest, you’ll be on our radar for future opportunities.
Excited about joining Owkin but don’t see the perfect role in our Agentic AI team just yet? Keep watching our careers page!
At Owkin, we value care, curiosity, creativity, and collaboration - and we appreciate that you share those values. Your interest tells us that you’re passionate about using AI to transform patients’ lives and eager to collaborate with our talented Owkinautes. That means a lot to us.
What happens next?
- Read the description (below) of the team’s responsibilities, if it resonates with you, submit your interest.
- We’ll review your submission to understand your skills, interests, and aspirations.
- If a relevant role opens up, we’ll be in touch to let you know.
- The timing is unpredictable - it could be weeks, months, or even a year. While we can’t promise an immediate fit, we’ll be sure to reach out if we find a strong match.
Thank you for your interest in Owkin - we truly appreciate it and hope to connect in the future!
Is this you?
- Proficient in English
- Familiar with Agentic AI in a professional setting
- Engaged with Agentic AI in personal projects or research
- Demonstrated expertise in LLMs, generative AI, optimization, or sequential learning
- Passionate about the intersection of healthcare and AI
- PhD in a Computer Science-related field (Machine Learning, Applied Mathematics, Computer Science) or equivalent expertise
- Strong practical knowledge of deep learning frameworks (TensorFlow, PyTorch, JAX, etc.)
- Specialized in one or more of the following areas: reinforcement learning, Bayesian optimization, optimal experimental design, agents, or optimal transport
- Background in target discovery, drug discovery, or related fields, with a track record of impact (e.g., high-profile publications or industrial applications)
- Expertise in causality and treatment response modeling
- Skilled in training large deep learning models
- Published in high-impact journals and conferences
Would you like a role that asks you to …
- Develop and apply agent-based approaches on large volumes of multimodal patient data
- Work with cross functional teams to improve medical research using state-of-the-art machine learning algorithms
- 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.
- 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.
If you recognise yourself in the text above, please submit an application form and attach your CV.
Please submit your CV in English
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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 [email protected]
- 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/
