Jobs at Isomorphic Labs

The Principal Software Engineer will ensure the reliability and scalability of AI systems, leading infrastructure improvements and optimizing ML workflows.

Design and develop novel machine learning models and training algorithms for drug discovery. Lead and run research projects, implement and scale training/inference frameworks, analyze experiments, and collaborate across disciplines. Mentor and provide technical guidance to other ML researchers and contribute to research direction and presentations.

Build, operate, and optimize a high-throughput inference platform serving large ML models. Harden and scale inference services, drive architectural tooling decisions, collaborate with research and applied ML teams, and deliver well-tested, reliable features for production model serving.

As a Research Engineer, you will develop and optimize AI models for drug discovery, collaborating with scientists to advance ML applications in biopharmaceuticals.

As a Support Engineer, you will provide technical support, develop automation tools, manage 3rd party integrations, and assist with employee onboarding.

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

As a Data Curator, you'll integrate and curate biomedical datasets, ensuring quality for machine learning applications in drug discovery, while collaborating with research teams.

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.

As a Software Engineer, you'll design and manage GPU/TPU infrastructure targeting AI/ML workloads, collaborating across teams to optimize performance and ensure reliability of machine learning systems.

The Technical Program Coordinator will manage program planning, track timelines, monitor budgets, and facilitate stakeholder communication within drug design programs.

Lead bioanalytical strategy across small molecules, biologics, and ADCs from discovery through preclinical GLP/non-GLP studies. Design, validate, transfer PK/PD and ADA assays, manage global CROs and complex cold-chain logistics, integrate bioanalytical data with AI models, author IND/IB bioanalytical sections, and represent bioanalysis in cross-functional teams to advance candidates to clinic.

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