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As a Research Scientist focused on Large Language Models, you'll develop and apply advanced ML techniques in drug discovery, contributing to groundbreaking research and leading projects in a collaborative environment.

Lead the development of quantitative pharmacology strategies for drug discovery projects, leveraging AI models for biologics and small molecules, while mentoring junior team members.

As a Machine Learning Performance Engineer, you will optimize GPU performance, design distributed training strategies, and collaborate with researchers to enhance AI models for drug discovery.

Lead the development of quantitative pharmacology strategies for drug discovery using AI. Collaborate across teams to resolve PKPD challenges and oversee data generation from external vendors.

Seeking a Senior Scientist in biologics to lead design and optimization of large molecule therapeutics using AI. Collaborate with teams to drive drug discovery projects.

Lead the design of biologics therapeutics utilizing generative AI, manage biologics programs, mentor team members, and drive project collaboration to advance drug discovery.

You will build and lead projects for deploying machine learning models, ensuring high engineering standards and collaborating with diverse teams.

The ML Platform Engineer will develop and manage infrastructure for deploying machine learning models, collaborate with various teams, and ensure high engineering standards.

Lead the foundational infrastructure teams focused on training and serving large models in biotech, emphasizing operational excellence and strategic execution.

Lead a team to design and develop scalable machine learning systems for drug discovery, mentoring engineers and ensuring software excellence.