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The role involves developing large-scale scientific workflows, improving automation in processes, and supporting scientists with existing workflows, focusing on cheminformatics and drug discovery.

Develop and integrate computational methods and AI/ML models for drug discovery, collaborating with teams to validate and interpret predictions.

The AI Scientist will develop and direct deep learning systems for drug discovery, collaborate across domains, and publish in top-tier ML venues.

The intern will support the Target Prioritization Team in developing a new framework and methods for evaluating drug targets using computational tools and data analysis.

Develop large-scale scientific workflows, improve data visualization, support scientists, and automate processes. Focus on versatility in tech stacks for drug discovery applications.

Develop and support ML infrastructure for large-scale scientific workflows, improve automation processes, and contribute to product features in AI-enabled drug discovery.

The Head of Platform will lead and drive scientific strategy in proteomics and AI-driven drug discovery, manage research teams, oversee lab operations, and optimize budgets, promoting innovation.

The Senior Project Manager will oversee collaboration projects, manage cross-functional teams, ensure project timelines are met, and maintain effective communication between internal and external stakeholders.