ACCOUNTABILITIES:

• Predict, analyse and interpret protein structure using computational modelling tools like AlphaFold, Boltz, EvoBind, molecular dynamics simulations and ML/AI.
• Apply and develop Free-energy calculations for molecular interactions.
• Apply molecular dynamics simulations methods to understand protein dynamics and motions.
• Generate scripts and workflows to enable automated analyses.
• Apply and develop deep learning and molecular dynamics-based approaches to biologics drug discovery.
• Be part of and contribute to multidisciplinary drug discovery project teams.

The Computational Structural Biology (CSB) team is growing our broad-ranging expertise encompasses structural bioinformatics, protein structure prediction, molecular dynamics simulations, free-energy calculations, protein docking, and in silico prediction of physico-chemical properties of biomolecules using advanced computational methods. The team sits as part of the wider Protein Sciences dept. which poses leading capabilities in Protein Structure Prediction, Crystallography, Cryo-Electron Microscopy, Protein Expression and Biophysics.
This role will see you collaborating with structural biologists, protein scientists, biophysicists, chemists, biologists and computational scientists across all of AZs therapy areas. You will work proactively across multiple projects within an interdisciplinary, collaborative, dynamic environment to help develop high-quality lead proteins, ultimately leading to new clinical candidate drugs.
This is an outstanding opportunity to develop and work with ground-breaking, technology and apply it to bio-therapeutic discovery and development projects in a dynamic and interdisciplinary environment.