Postdoctoral Researcher - Epidemiological Modeller

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford

Applications to be received by 12pm on Thursday 5th of December 2019

Grade 7: £32,817 - £40,322 p.a.

This is an excellent opportunity to join a large team dedicated studying how to best reach people living with HIV in sub-Saharan Africa that are currently underrepresented in the treatment statistics.


You will be an integral member of the Pathogen Dynamics group based at the new Big Data Institute in Oxford, led by Christophe Fraser. Members of the group study the dynamics of several human infectious diseases using both modelling and pathogen genetics. You will be driven by biological and epidemiological aims. In addition, you will provide guidance to less experienced members of the research group, including postdocs, research assistants, and PhD and project students. You will take part in capacity building in our African partner institutions through face to face teaching and the development of online learning resources.


You will develop new and adapt existing analysis methods, simulation methods and computer code for epidemiological analyses as well as test hypotheses and analyse data from a variety of sources, reviewing and refining working hypotheses. You will manage your own academic research and administrative activities and develop ideas for generating research income and present detailed research proposals to senior researchers.


You will hold or be close to completion of a PhD in applied mathematics, statistics, epidemiology, public health or another relevant and related subject. You will also have sufficient specialist knowledge in genetics, modelling and pathogen dynamics to work within established research programmes as well as training in mathematics and epidemiology, at BSc or MSc level. The ability to manage own academic research and associated activities, and to work to deadlines is also essential.


This full-time position is fixed-term until 31 December 2021.


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 Thursday 5 December 2019.

Contact: Genevieve Moffa (01865 612892)