Postdoctoral Researcher, University of Oxford
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. The post holder will also be part of the Research Informatics group at the Centre for Medicines Discovery, linking them to experimental chemical biology expertise. This is an exciting opportunity to become part of a large dynamic multidisciplinary team aiming to develop medicines against novel targets.
We need you to hold 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.
Whilst this role is a grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at grade 7, £34,308 - £42,155 with a discretionary range to £46,047 with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate.
Queries about this post should be addressed to Professor Charlotte Deane deane@stats.ox.ac.uk or Professor Brian Marsden brian.marsden@cmd.ox.ac.uk
This post is fixed term for 30 months.
Only applications received before 12.00 midday on 20 January 2023 will be considered.
Interviews will be held on 6 and 8 February 2023.
Please find the full advert at https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=162075