Senior Researcher in Statistical Genetics and Pathogen Dynamics
Health and Medical,Medicine and Dentistry,Anatomy, Physiology and Pathology,Biological Sciences,Biology,Genetics,Mathematics and Statistics,Mathematics,Statistics,Computer Science,Computer Science
Short info about job
Company: University of Oxford
Department: Oxford Big Data Institute
Salary: £39,324 to £51,260
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1438 9726715
Fax: +44-1433 7528076
Detail information about job Senior Researcher in Statistical Genetics and Pathogen Dynamics. Terms and conditions vacancy
Grade 8: £39,324 - £46,924 with a discretionary range up to £51,260 p.a.
This is an exciting opportunity to join a team dedicated to discovering the causes of variation in virulence in HIV-1 infected patients. The post holder 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
An appointment at Grade 7 (£31,076 - £38,183 p.a.) may also be considered for a less experienced candidate with suitable adjustment of the responsibilities.
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 Friday 22 September 2017.