Postdoctoral Research Assistant in Structural Bioinformatics

University of Oxford - Department of Statistics

Applications are invited for a full-time Postdoctoral Research Assistant in Structural Bioinformatics. Reporting to Professor Charlotte Deane, the postholder will be a member of the Oxford Protein Informatics group headed by Professor Deane. The post is available immediately and is fixed-term until 30 September 2020.

Over recent years it has become apparent that holistic systems-level approaches which consider biological components in their cellular environments often lead to better computational models. This project will consider how protein structure prediction may benefit from incorporating information about the biological environment and the process of production. The project has the twofold aim of increasing our understanding of the biological process of protein folding whilst identifying which parts of the process can most easily and most beneficially be incorporated into protein structure prediction.

The postholder’s main duties and responsibilities will include working with others to understand the effects of folding pathways and features in order to identify the part of the process that would most readily improve protein structure prediction, and then implement these features into the group’s template free protein structure predictor (SAINT2). This work derives from investigations already carried out by the group on the potential effects of sequential folding and speed of translation on protein structure prediction, as well as the development of a template free co-translational structure predictor which will be used to test ideas and into which all of the relevant factors will be incorporated.

Applicants are sought who have, or are close to the completion of, a doctorate in a relevant area of science, or who have equivalent experience. You will have experience of development of computational tools and scientific computing for protein structure prediction and have demonstrable programming skills, of which C and Python are of particular importance. You will be expected to work collaboratively and independently, delivering results to the required standard and schedule.

Queries about this post should be addressed to Professor Charlotte Deane (deane@stats.ox.ac.uk) or Associate Professor Garrett M Morris (garrett.morris@stats.ox.ac.uk).

The closing date for applications is 12.00 noon on Wednesday 27 June 2018. Interviews will be held on Tuesday 3 July 2018.

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=135026

Closing Date: 27-JUN-2018 12:00.

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