As a Research Scientist in Machine Learning, you will build machine learning models and algorithms for drug discovery, collaborating with engineers and scientists. The role includes mentoring, project leadership, and applying advanced ML techniques to real-world challenges in computational biology and chemistry.

Isomorphic Labs is seeking a Senior Full Stack Software Engineer to lead the development of a scientific data management tool for drug discovery. The role involves designing and developing software products, collaborating with scientific users, and architecting cloud-native applications. Essential skills include web application development, technical leadership, software engineering, and cloud infrastructure knowledge. Nice to have skills include experience with Python, Postgres, GraphQL, Kubernetes, React, and Google Cloud Platform.

As a Research Scientist in machine learning, you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world.

Join Isomorphic Labs as an ML Ops Engineer in London and work on a greenfield ML-based software platform transforming drug discovery. Partner with engineers, scientists, and researchers to build critical platforms and tools for ML model lifecycle, cloud infrastructure design, and operational management. Collaborate with diverse teams and contribute to core technical decisions. Essential skills include Kubernetes, cloud platform development, DevOps, and proficiency in Python, Golang, Rust, or JavaScript.

As a DMPK Lead at Isomorphic Labs, you will design and implement DMPK strategies for drug discovery projects, integrating various data inputs to inform decision-making in a collaborative environment. You will work with AI/ML teams and be responsible for optimizing molecule designs and guiding project progression with a data-driven approach.

As the Tech Ops Lead, you'll drive the technical strategy for a ML-based software platform in drug discovery, manage a diverse team of engineers, define technical standards, and collaborate across disciplines. You will enhance developer experience and oversee cloud infrastructure operations.

Register your interest for future openings at IsoLabs, a new Alphabet company focused on drug discovery using computational and AI methods. The organization values creativity, integrity, and collaboration, emphasizing the importance of a diverse and supportive work environment. As a future team member, you will contribute to groundbreaking innovations in biotechnology, aiming for significant social impact.

The Biologics Product Manager will develop product strategies, prioritize features, collaborate with cross-functional teams, communicate technical aspects, analyze feedback for platform improvements, and track performance metrics all while leveraging AI in drug discovery.

As a Machine Learning Engineering Lead, you will lead a team in developing and scaling machine learning models and algorithms for drug discovery. You will ensure high engineering standards for models, collaborate with diverse teams, build a talented engineering team, and make core technical decisions.

As a Senior Machine Learning Engineer, you will contribute to shaping the future of Drug Design by enhancing Isomorphic Labs' ML product suite, collaborating with engineering and research teams, and setting high standards for engineering practices. You will be pivotal in strategic decisions regarding tooling and infrastructure, ensuring scalability and maintainability of ML models.

The Support Engineer will provide technical support, troubleshoot complex issues, and develop automation scripts while collaborating with teams to improve system processes. They will also manage APIs and document solutions to enhance support operations.