Computational Biologist
Owkin
France
Published : Sep 26, 2026
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About this opportunity
About us 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,…
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About us 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. Position is based in our Paris office or remotely in France, UK or Germany. Please submit your CV in English About the role: As a Computational Biologist at Owkin, you will have a unique opportunity to contribute to the discovery of better treatments through the development and use of agentic AI systems.
An integral member of the Biomedical team, you will work alongside world-class experts in AI and biology within a multidisciplinary team dedicated to pioneering discoveries, all while embedded in an organization that develops end-to-end AI systems for clients. Your experience in omics will allow you to contribute to the building of our AI Scientist, an agentic system designed to navigate the complexities of target and drug discovery.
In particular, you will: Contribute analyses to projects aiming to discover novel drug targets, biomarkers and disease subtypes through reverse translation based on multi-omics patient or pre-clinical data including: genomic, transcriptomic (spatial, single-cell, bulk), proteomic, and others. analyze biomedical datasets using classical or novel omics methods and machine / deep learning algorithms Conduct literature reviews to stay up-to-date with respect to relevant approaches and datasets Participate in the interpretation of results and help design validation strategies together with cross-functional teams.
Collaborate with other members of Owkin’s R&Tech and Biomedical departments with varied backgrounds (computational biologists and chemists, AI scientists, medical imaging experts, medical doctors, biologists, …). Contribute analyses and visualisations to generate scientific internal and external communications and reports. Participate in Owkin’s internal R&D activities, develop new as well as improve existing methodologies, strive to keep Owkin’s Toolbox to the state-of-the-art.
About you The successful candidate will have a ‘team-first’ kind of attitude; be curious and