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.
What you will bring
-
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.
Nice to have
-
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.
Contact Detail:
GCS Ltd Recruiting Team