Job Description
Do you have expertise in, and passion for protein engineering and computational structural 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 are the Augmented Biologics Discovery and Design team who are building on existing technologies to advance learning from the large and sophisticated data sets we generate and excitingly the team is growing to meet this challenge. This role provides the opportunity for a dedicated and motivated protein engineer with computational structural biology skills. What you’ll doJoin our innovative team and help develop a ground-breaking biologics discovery and design platform in the Biologics Engineering team. 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.You will assist in testing and verifying in silico tools and pipelines with collaborators from AZ. You will also communicate complex concepts to non-experts in scientific meetings.At AstraZeneca, we work together to provide medicines that make a real difference in patient care. A place with a daring and collaborative culture, where you'll feel valued and rewarded for your ideas and contributions.
Responsibilities + Skills
Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individualsExperience working within a team environment
Education
PhD in relevant field (e.g. Protein Engineering, Structural Biology, Structural Informatics)Knowledge of computational biology and proven application of data analysis methodsExperience with Python and analysis of structural, sequence, and experimental data.
Experience