|Salary:||£33,309 to £44,706 p.a. grade 7|
|Placed On:||4th January 2022|
|Closes:||21st January 2022|
Location: Zoology Research and Administration Building, 11a Mansfield Road, Oxford, OX1 3SZ, and, Peter Medawar Building for Pathogen Research
Grade 7: £33,309 - £44,706 per year
We seek an accomplished post-doctoral scientist with a track record of excellence to undertake innovative research in the field of paleovirology. Candidates will be expected to have genomic analysis, programming and evolutionary analysis experience, with a background or interest on working with viruses. The position is available immediately for 3 years (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 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.
The postdoctoral researcher will lead in the evolutionary analysis of viral cross-species transmission, and the computational analysis of virus-to-host gene flow. They will be experienced with next generation sequence analysis, be familiar with programming and large scale data handling (e.g. the Python and SQL, or equivalent) and will be responsible for the bulk of bioinformatic development and analyses for these objectives.
Duties will primarily include design and implementation of the computational aspects of the project, including genome sequence 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.
Where Covid-19 has resulted in substantial disruption to your work or research outputs, please explain this by providing an additional paragraph in your supporting statement.
Applications are particularly welcome from women and black and minority ethnic candidates who are under-represented in academic posts in Oxford.
The closing date for applications is 12.00 noon Friday 21st January.
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