Senior Scientist - Biologics Engineering

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 do Join 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.

• PhD in relevant field (e.g. Protein Engineering, Structural Biology, Structural Informatics)
• Knowledge of computational biology and proven application of data analysis methods
• Experience with Python and analysis of structural, sequence, and experimental data.
• Experience with structural modelling platforms (e.g. Schrodinger, Rosetta etc)
• Capability of successfully managing multiple simultaneous projects
• Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals
• Experience working within a team environment
• Acts with integrity and does the right thing
Desirable Skills/Experience
• Knowledge of Generative AI, machine learning, and deep learning for protein design and optimisation
• Experienced in use of biologics databases (e.g. Genedata Biologics)
• Awareness of data requirements for machine learning to model biological data
  
  Why AstraZeneca?
Make a more meaningful impact to patients' lives around the globe At AstraZeneca, we thrive in an environment where the brightest minds come together in an inclusive culture. Here, every voice is heard, and we are consistently expanding our horizons by working side-by-side with academia and innovating with biotech. By sharing our knowledge, we empower ourselves to be the best we can be and accelerate progress. We are committed to making a difference by fusing data and technology with scientific innovations to achieve breakthroughs that can treat, prevent, modify, or even cure some of the world's most sophisticated diseases.