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Entreprise classique

231 rue Saint-Honoré, 75001 Paris France

Aqemia is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases. Our differentiation lies in our unique quantum and statistical mechanics algorithms fuelling a generative artificial intelligence to design novel drug candidates. The disruptive speed and accuracy of our technological platform enables us to scale drug discovery projects just like tech projects.

Aqemia has been founded in June 2019 by Maximilien Levesque - ex-Research group leader at Ecole Normale Supérieure - and Emmanuelle Martiano - ex-Principal at BCG.
We are now a team of 20+ mission-driven people at the crossroads of Chemistry, Machine Learning, Physics and Software Engineering, and have raised $12M with leading VCs.

Filières et mastères spécialisés

Secteur d'activité
Services informatiques ou développement logiciel

Nombre d'employés

Description du profil recherché
We are looking for Machine Learning engineer to develop screening or generative algorithms to design new drug molecules, guided by our proprietary scoring of affinity and to participate in a shift of paradigm in drug discovery: from database screening to de novo drug design by implementing cutting-edge and scalable ML methods to improve docking, large database screening, active learning, molecule generative models, etc. and testing and benchmarking your newly implemented methods.

We are also looking for Software Engineers for enabling our research team to deliver novel compounds with speed, efficiency, and precision by building and improving our cloud infrastructure for large-scale distributed computing and data management, proposing and implementing cloud infrastructure optimisations to improve performance, to bolster security and to decrease costs.
Our Software Engineering is also in charge of industrialising algorithmic prototypes produced by the research team into modular, scalable, and well-tested modules, they help us to improve code quality across the code base through coaching and code reviews and they set up continuous integration and continuous deployment pipelines.

We are recruiting also Data Scientists combining both Data Architecture & Data Engineering skills.
As a highly technical Data Architect, they set up a robust, fast, and scalable architecture to process data from batch and real-time sources, both internal and external. As a Data Engineer, they prepare, serve and monitor large amounts of chemical and biological data as well as ML models to solve critical problems. They develop tools collaboratively to help Aqemia find new drugs quicker and they own many large datasets, implement new data pipelines that feed into or from Aqemia core technology.

Nombre de stages de 1 mois disponibles

Nombre de stages de 6 mois disponibles
Un ou plusieurs

Nombre d'alternances disponibles
Une ou plusieurs

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