Jobs at Isomorphic Labs

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.

Join Isomorphic Labs as a Software Engineer focusing on data services. Collaborate with scientists and ML researchers on software platforms, enhancing drug discovery through data engineering and service-oriented architectures.

As a Software Engineer, you will design and manage cloud infrastructure, enhance DevOps practices, and collaborate with teams to drive innovation in drug discovery.

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

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

As a Senior Technical Program Manager in InfoSec, you'll manage security initiatives, interface with engineering teams, and translate security strategies into technical solutions while ensuring operational visibility.

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.

Manage complex IND submission processes, ensuring integration of non-clinical and clinical aspects, while coordinating teams and refining workflows for pre-clinical development.

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

As a Talent Partner, you will drive talent acquisition strategies, building inclusive teams and enhancing the employer brand in a tech-focused environment.

You will contribute to the inference platform, maintain APIs, support users, improve CI/CD, and ensure platform reliability.

Lead the engineering teams to develop ML infrastructure, define strategy, manage operations, and foster a high-performance engineering culture in drug discovery.

Lead the development and CMC strategy for next-generation biologics and ADCs, overseeing technical development and ensuring scalable manufacturing.