This role will offer you

• Opportunity to be key member of the informatics teams and consult on platform projects, utilising your expertise in Computational Chemistry and Data Analytics.
• Opportunity to work with a fast growing team, operating the cutting edge of drug discovery and novel modalities.  

You will be responsible for

• Providing computational chemistry input to specific drug discovery projects including molecular modelling & docking through to cheminformatic analyses and predictive model building.
• Working closely with medicinal chemists and wider project teams to critically analyse project data and contribute ideas that will drive projects forward.
• Collation and analysis of complex, multi-parametric datasets to rationalise SAR and build predictive models in areas such as biological activity, selectivity, in vivo properties and others.
• Providing computational analyses and solutions to projects via your own personal contributions as well as by working with external vendors or collaborators where appropriate
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You will bring the following

• PhD in related field with at least 3 years of computational chemistry experience working in a pharma, biotech or academic drug discovery unit.
• Experience of structure-based and ligand-based design using one or more of shape, fingerprint and pharmacophore-based methods including library design & enumeration and lead-hopping.
• A working knowledge of the Dotmatics suite of tools and other languages/ environments including Python, R, Linux & HPC would be very advantageous.