Research Intern (Flow Matching models)

External

Owkin · Paris, France

ContractOn-site3w ago

Deep LearningGitLinuxMachine LearningPythonPyTorch

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About the role

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 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

Benefits

Flexible work organizationFriendly and informal working environmentOpportunity to work with an international team with high technical and scientific backgroundsRecruitment Process & SecurityPlease 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.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 MessengerOwkin 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 LinkedInCheckFlexible schedulePerformance bonus

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