As a key member of discovery research projects you will proactively utilize, communicate and leverage bio-structural information to guide the design of biopharmaceutical molecules within a multi-dimensional chemical and formulation space.
You will provide protein homology models, perform advanced data mining and analysis and apply molecular dynamics calculations in interpretation of experimental data such as NMR and SAXS with the ultimate goal of designing compounds with improved biological, physical and pharmacological properties.
You will have the opportunity to influence your own development and grow into a key role at the interface of between protein chemistry, structural biology, formulation and pharmacology.
You hold a PhD in Computational Chemistry, modelling or a related discipline and have at least three years of post-doctoral experience. Previous experience from pharmaceutical industry would be a plus.
You have expert knowledge of computational aspects of 3D molecular structure and design (such as protein homology modelling, MD simulations), preferably coupled with hands-on experience in SAXS or NMR. Additional relevant skills within advanced large scale data analysis techniques and protein protein docking are highly desirable, as is familiarity with commercial molecular modelling and data-mining software.
You are fluent in English and good to share results and interact with scientist of different disciplines.
