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The Director will lead corporate development strategies, manage acquisition processes, and foster strategic partnerships to drive growth at SandboxAQ.

The Manager of Clinical Research leads AQMed's clinical program, overseeing multi-center studies globally, managing external partners, and ensuring regulatory compliance while integrating AI tools to enhance efficiency.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

Lead product strategy and development for AI Simulation products, translating scientific needs into product requirements and ensuring market fit.

The Staff Technical Product Manager will drive product strategy and definition for AI solutions targeting life sciences, ensuring alignment across teams, validating product market fit, and leading product launch activities.

The VP of Operations will architect the AI Simulation business unit, optimize processes, manage resources, and lead strategic initiatives in AI-driven science, overseeing BioSim and ChemSim divisions.

As a Research Scientist, you will develop large-scale datasets, support computational workflows for catalysis, mentor junior scientists, and engage with industrial partners for catalyst discovery.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

Join SandboxAQ as a Scientific Software Engineer to develop AI-driven computational chemistry tools and maintain production-quality software, collaborating with experts to enhance drug discovery processes.