We are seeking to appoint a Postdoctoral Research Scientist to work on the within-host and transmission dynamics of SARS-CoV-2 using a very large dataset of more than 100,000 viral genomes generated as part of the Office for National Statistics Covid Infection Survey. You will be based within the Big Data Institute at the Nuffield Department of Medicine.

You will be responsible for developing working hypotheses with the support of the group leader and other members of the Virus Evolution and Pathogen Dynamics groups. You will develop new and adapt existing analysis methods and mathematical models to better understand within-host SARS-CoV-2 evolution and transmission. You will contribute and develop ideas for new research projects, and carry out collaborative projects with colleagues in partner institutions and research groups. You will be responsible for preparing manuscripts for publication, including writing the first drafts and preparing figures. You will also act as a source of scientific information and advice to other members of the group.

It is essential that you hold a PhD (or close to completion) in an appropriate research area, and you must also have a keen interest in the research described here, and the aptitude to learn about SARS-CoV-2 biology. You must have sufficient knowledge in population genetics, phylogenetics, the analysis of sequence data, mathematical modelling of infectious disease, or the demonstrated aptitude to learn. Expertise in at least one programming language or mathematical platform is necessary. It is essential that you have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 1 July 2025 and is funded by Li Ka Shing.

Only applications received before 12 midday on 17 November 2022 will be considered. Please quote 159757 on all correspondence.