Department of Biology, 11 Mansfield Road, Oxford, OX1 3SZ and South Parks Road, Oxford OX1 3RB
We seek an accomplished Researcher with a track record of excellence to undertake innovative research in virus evolution. Candidates will be expected to have evolutionary analysis, programming and genomics experience, with a background or interest on working with viruses. The position is available immediately until 30 September 2026 (with the possibility of extension). The candidate will join the paleovirology research group under the supervision of Professor Katzourakis.
This is an exciting opportunity to work on an ERC funded project on the evolutionary dynamics of viral cross-species transmissions, and the consequences of virus-host gene exchange. The postholder will seek to identify the factors that drive successful transmission, and the role of gene exchange in host evolution. The new field of paleovirology has been pioneered by the research group of Professor Katzourakis. The project will integrate bioinformatics, evolutionary, and experimental techniques, to elucidate the evolutionary processes underlying virus-host interactions.
You will lead the evolutionary and computational aspects of the project, working closely with members of the team working on computational and experimental aspects of the project. You will be experienced with evolutionary and sequence analysis, be familiar with programming and large-scale data handling (e.g., Python and SQL, or equivalent) and will be responsible for the bulk of bioinformatic development and analyses for these objectives. You will hold, or be close to completion of, a PhD/DPhil in a relevant field of biology with a strong interest in the research described here, and research experience.
Duties will primarily include design and implementation of the computational aspects of the project, including genomic analysis, and the development and deployment of state-of-the-art phylogenetic based approaches for the inference of evolutionary processes. The candidate will have a proven track record of leading complex computational research in evolutionary biology including design and implementation of analytical tools. The candidate will work closely with the other members of the research team and contribute to their training and development.
The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.
The closing date for applications is 12.00 noon (GMT +1) on the 8th of December 2023, interviews are likely to be scheduled late-December 2023. 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.
Contact Person : HR Vacancy ID : 169035 Contact Phone : Closing Date & Time : 08-Dec-2023 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : [email protected] Salary (£) : Grade 7: £36,024 - £44,263 per annum, with a discretionary range up to £48,350 p.a.