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The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

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.

As a Backend Systems Engineer at Axiom, you will design and build core infrastructure for ML systems, manage customer data, and empower scientists in engineering practices.

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.

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.