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Research Associate in Biology

University Of Cambridge is pleased to invite applicants to apply for a postdoc position. Citizens of any country are eligible to apply. The deadline for applying is September 18, 2018.

Fixed-term: The funds for this post are available until 31 March 2021 in the first instance. Applications are invited for this research position, funded by the BBSRC, on a project aiming to develop new vaccines for Emerging Viral Diseases.

The main focus of the research is to use computational methods, virus structure and sequence databases, Immunoglobulin gene sequencing and neutralising epitope data to computationally evolve improved methods design synthetic vaccine inserts for emerging viral diseases. We will be using glycoprotein-based vaccine approaches for Ebola and virus, Lassa viruses as a proof of principle in a consortium of UK partners and 1 Nigerian partner. The project will involve the bioinformatics analysis of viral sequences, antigen design using structural bioinformatics approaches, and epitope enrichment, using empirical data from existing monoclonal antibodies, as well as in silico predictions of epitopes. In addition to bioinformatics analysis, there is also a more traditional statistical component involved in the analysis of data from experiments on glycoprotein binding, pseudotype neutralisation by monoclonal antibodies, antibody competition and neutralisation by sera.

The project is based at the Lab of Viral Zoonotics (LVZ), Department of Veterinary Medicine, University of Cambridge and this role is co-supervised by Professor Simon Frost, in collaboration with Professor Jonathan Heeney, head of the LVZ and PI of the BBSRC OVEL grant.

Applicants should have a PhD in the field, and a clear understanding of viral neutralisation. A background in the molecular biology of RNA viruses and analysis with computational skills. The candidate must be hard working, dedicated, able to meet deadlines and deliver. They must value teamwork and collaboration, have good administrative and interpersonal skills, and high computer literacy, including proficiency in data handling, and databases.

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PP16513 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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