Computational Biologics Design Senior Scientist
Roel Desription
Do you have expertise in, and passion for data science and AI? 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 teamis 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 Biologics Augmented Biologics Design team who are building on existing technologies toadvance learning from the large and complex data sets we generate and excitingly the team is growing to meet this challenge. This roleprovides the opportunity for a talented and motivated computational structural biologist.
Typical Accountabilities
Lead the in silico support on pipeline therapeutic projects in collaboration with AZ stakeholders
Work collaboratively with data and drug discovery scientists toestablish structural analytics workflows for biologics discovery
Contribute to the development of an end-to-end data analysis capability within Biologics Engineering team as part of a cross-functional team
Drive innovative structural, generative & machine learning methods for the design and optimisation ofbiologic therapeutics
Participate in strategic external collaborations
Demonstrate effective communication to translate complex concepts to non-experts in internal and external scientific meetings
Must Have
• PhD in relevant field (e.g. Structural Biology, Computer Science, Bioinformatics, Physics and Mathematics)
• Knowledge of computational structural biology and demonstrated application of data analysis methods
• Experience with structural modelling platforms (e.g. Schrodinger, Rosetta etc)
• Familiarity with antibody discovery & optimisation, protein structures
• Skilled in applying generative AI, Machine learning or deep learning to design and optimise proteins
• 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
Desireable
Knowledge of FAIR data principles
Experience with the analysis of large structural, sequence and experimental datasets.
Date Posted
29-Sep-2025Closing Date
23-Oct-2025Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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