What you will do

• Design, develop, and maintain production-ready software tools and frameworks for efficient enzyme design and analysis.

• Work closely with research scientists to transform innovative algorithms and generative models into robust, scalable software solutions.

• Implement and maintain data pipelines for processing and analysing large-scale biological and chemical datasets.

• Collaborate with the computational platform team to deploy and scale our computational tools in cloud environments.

• Advanced software engineering skills, including expertise in version control systems (e.g., Git), automated testing frameworks, and CI/CD pipelines, coupled with a genuine passion for delivering high-quality, scalable technical solutions.

• Strong proficiency in Python, with extensive experience in scientific computing libraries (e.g., NumPy, SciPy, Polars) and a proven track record of implementing advanced algorithms and complex computational workflows.

• Familiarity with cloud computing platforms (e.g., AWS, GCP), containerisation technologies (e.g., Docker), and scalable workflow orchestration tools.

• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to biological problems.

GCS is acting as an Employment Agency in relation to this vacancy.