Job Description

Do you have expertise in, and passion for computational biology? Would you like to play a pivotal role that impacts the delivery of novel biologics drugs for oncology, respiratory, and cardiovascular diseases in a company that follows the science and turns ideas into life-changing medicines? Then AstraZeneca might be for you!The Biologics Engineering team is responsible for the discovery and optimisation of biological candidate drugs to support all therapy area drug discovery pipelines and for the development of in-house biologics discovery platforms and novel drug modalities to support future drug discovery efforts. Central to this effort is the Augmented Biologics Discovery and Design team, which is building on existing technologies to advance learning from the large and complex data sets we generate. Excitingly, the team is growing to meet this challenge. This role provides the opportunity for a dedicated and motivated machine learning scientist with computational structural biology skills. What you’ll doJoin our innovative team and help develop a brand new biologics discovery and design platform.You will work collaboratively with data and drug discovery scientists to establish structural analytics workflows for biologics discovery and drive innovative structural and machine learning methods for the analysis and design of therapeutic proteins.Lead partnerships with academic and commercial organisations, while testing and validating in silico tools with collaborators from AZ.Finally, you will demonstrate effective communication to translate sophisticated concepts to non-experts in internal and external scientific meetings