This is an exciting opportunity to be part of the multimillion Ineos-Oxford Institute (IOI) for AMR Research within the Department of Biology (University of Oxford). Joining the IOI, Sheppard Lab and PubMLST development team, the researcher will support and analyze large bacterial genome collections to understand the epidemiology and evolution of antimicrobial resistance (AMR) in important pathogens.
About you: The successful candidate will develop and apply genome analysis pipelines to identify potentiating mutations and/or gene gains on projects across the IOI and PubMLST network. Bioinformatics techniques will include database-driven analyses and quantitative comparative genomics approaches. They will be close to completion or hold a relevant PhD/DPhil, together with relevant experience (e.g. bioinformatics, computational genomics) and have machine learning, and bioinformatic genome analysis experience. Computer science or bioinformatics, including bacterial population genomics and/or protein structure prediction for drug target identification.
While being independent researchers able to take the initiative, they will also work closely with other researchers within the Sheppard Lab and the IOI, to integrate their work within the broader research programme. With excellent communication skills, applicants will be able to write for publication, present research proposals and results, engage with a wide range of stakeholders, and represent the research team at meetings and conferences.
The post will be based at the new Life and Mind Building.
How to apply: This post is full-time and fixed term until 29 February 2028 in the first instance, with options to extend. The closing date for applications is 12.00 noon (GMT) on 7 October. Applications for this vacancy are to be made online via our e-recruitment system, and you will be required to upload a supporting statement and CV as part of your online application.
The University of Oxford is committed to equal opportunity, and to being a place where everyone belongs and is supported to succeed. We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
Tagged as: Life Sciences
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