Description

In this role, you will collaborate with various teams to design and evaluate cutting-edge machine learning models, develop scalable tools for drug discovery, and ensure robust performance for production use. Your work will directly impact the advancement of innovative drug design solutions.

Requirements

• •Strong experience with developing large-scale machine learning models
• •Extensive programming experience using mainstream programming languages, including strong Python experience
• •Experience with modern ML frameworks including JAX, PyTorch, or TensorFlow
• •Experience with the full ML research and development lifecycle
• •Experience partnering with research and product teams to prototype and ideally productionise ML models
• •Strong software engineering experience with software design and architecture skills
• •Strong understanding of ML theory and applications
• •Strong understanding of data structures and algorithms
• •Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience
• •Interest in chemistry and biology
• •Experience working with biomedical data
• •Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
• •Experience developing user facing production code

Tasks

• •Partner with ML Research, Drug Design, and Data Engineering teams
• •Design, develop, train, and evaluate ML models at scale
• •Build a scalable ML drug design research environment
• •Develop tools and libraries for large-scale machine learning experiments
• •Maximize model performance, scalability, and robustness
• •Create novel drug discovery tools with domain experts
• •Take ownership from rapid prototyping to production-quality code
• •Collaborate with scientists to understand feature requirements and user feedback

Tools & Technologies