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.

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.