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As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

Lead the design and development of Axiom's products and internal tooling for scientific data visualization and machine learning research, working closely with scientists and teams to create innovative solutions.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The Platform Engineer will build and manage scalable infrastructure for ML systems, focusing on enterprise applications in drug discovery, ensuring reliability and customer integration.