Isomorphic Labs seeks to recruit interested candidates for roles in software engineering, machine learning research, computational chemistry, and project management for future openings.

Join a team to develop and evaluate large-scale machine learning models for drug discovery, collaborating with scientists and engineers.

The role involves research and application of advanced machine learning models for drug discovery, collaborating with scientists, and optimizing AI implementations.

The Research Scientist will develop machine learning models and algorithms for drug discovery, collaborate with engineers and scientists, and lead research projects.

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

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.

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 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.