Postdoctoral Researcher in Computational Drug Discovery

We are looking for a postdoctoral researcher to join the Oxford Protein Informatics group (http://opig.stats.ox.ac.uk/) where they will be part of a computational team working across the areas of computational drug discovery, immunoinformatics and protein structure. This project will be done in collaboration with the Drug Discovery Unit (DDU) at Dundee University (https://drugdiscovery.dundee.ac.uk/). The DDU is one of a kind in the UK – a drug discovery research lab in the heart of a university campus.

We need you to hold or close to completion of a doctorate in computational chemistry, structural biology/bioinformatics, statistics, machine learning, computer science or mathematics or other relevant area. You will have programming experience in machine learning and your track record will include applying computational methodology to complex problems.

We are seeking an outstanding individual who has the potential to become a leader in the field of computational drug discovery and who would like to work in an exciting dynamic research group.

Queries about this post should be addressed to Professor Charlotte Deane [email protected] or Dr Fergus Boyles [email protected].

We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Bronze Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford.

Please direct informal enquiries to the HR office (email: [email protected]), quoting vacancy reference 167697.

Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae including full list of publications, and the contact details of two referees as part of your online application. (NOTE: Applicants are responsible for contacting their referees and making sure that their letters are sent to [email protected] directly by the closing date, quoting vacancy reference 167697).

Only applications received before 12.00 noon UK time on 22 September 2023 can be considered. Interviews are anticipated to be held on 9 October 2023.