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Director, Biopharma Data Science

CompraTica Empleos

EMP:Management
France
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usOwkin 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.

Habilidades

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.Please submit your CV in EnglishAbout the role:We are looking for a visionary Director, Biopharma Data Science to champion the development of our AI Scientist, an agentic system designed to navigate the complexities of target and drug discovery

You will lead a squad of data/research/AI scientists at the interface of machine learning and computational biology, working as both builders of and expert internal users of Owkin's K Pro platform on real scientific use cases.

You’ll be at the heart of Owkin’s mission, collaborating with Owkin’s scientists and/or external collaborators (academic researchers/ pharmaceutical companies) to deliver our strategic projects, and creating the engine that will discover the next generation of life-saving therapeutics.

This role is about building a "scientist in a box" that can reason over biological data, design experiments, and autonomously drive therapeutic breakthroughs.

 In particular, you will:Co-build the development of Owkin's AI Scientist, across two complementary discovery paradigms:data-first discovery (deriving targets and pharmaceutical insights from multimodal patient data, across modalities and stages of clinical development) andknowledge-first discovery (generating and testing novel scientific hypotheses grounded in the scientific literature, then validating them on data).

  • Lead and/or contribute to projects aiming to discover novel drug targets, biomarkers and disease su.

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