Senior Researcher in Statistical Genetics and Pathogen Dynamics (2 posts) University of Oxford, Li Ka Shing Centre for Health Information and Discovery United Kingdom

Senior Researcher in Statistical Genetics and Pathogen Dynamics (2 posts)


Li Ka Shing Centre for Health Information and Discovery, Big Data Institute, Old Road Campus, Oxford
Grade 8: £39,992 - £47,722 p.a.


This is an exciting opportunity for up to two successful applicants to join a team dedicated to discovering the causes of variation in virulence in HIV-1 infected patients. The postholder will report to Professor Christophe Fraser, and be based in the Pathogen Dynamics group at the new Oxford Big Data Institute.

 

You will develop innovative methods, combining statistical genetics, phylogenetics and/or phylodynamics, and mathematical modelling. You will be driven by biological and epidemiological aims. HIV-1 genomic data are unusual, with short genomes that are highly variable, both at the population level, but also within each patient; there is thus substantial scope for you to learn new biology and develop novel methods of public health utility.

 

This work involves developing new algorithms for simulation and inference, analysis of complex data, and communication with a wide variety of stakeholders involved in the project.

 

You will have a PhD in statistical genetics, applied computing, statistics, infectious disease epidemiology, applied mathematics, data sciences, or relevant quantitative science, together with relevant experience in genetics or statistics. You will also possess sufficient specialist knowledge in genetics or pathogen dynamics, epidemiology or simulation science to work within established research programmes.

 

An appointment for a Postdoctoral Researcher at Grade 7 (£31,604 - £38,833 p.a.) with appropriate adjustment in the duties, will be considered based on the applicant’s skills and experience.

 

This full-time position is fixed-term for 2 years in the first instance.

 

Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.

 

The closing date for this post will be 12.00 noon on Wednesday 6th June 2018.

 

Contact Person : HR Administrator

Vacancy ID : 134680


Contact Phone : 01865 612892

Closing Date : 06-Jun-2018


Contact Email : bdi.hr@ndm.ox.ac.uk


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