Researcher in Infectious Disease Modelling
Big Data Institute, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN
Grade 7: £32,817 - £40, 322 per annum (with discretionary range to £44,045)

We are seeking a highly-motivated Researcher in Infectious Disease Modelling to join an interdisciplinary team of modellers, phylogeneticists, mathematicians, computational scientists, population geneticists and a few other disciplines. You will be an integral member of the Pathogen Dynamics group based at Oxford, led by Christophe Fraser. The position is suitable for candidates who have finished their PhDs in recent years or are close to obtaining their final certificate.

You will work on several projects in the area of HIV and COVID and develop the individual-based models (PopART-IBM and OpenABM-Covid19) to contribute to these projects. You will be responsible for developing and adapting existing analysis methods, stimulation methods and computer code for epidemiological analysis. You will manage your own academic research and administrative duties, which will include small scale project management and coordinating multiple aspects of work to meet deadlines. You will act as a source of information and advice to other members of the group, and represent the research group at external meetings and seminars.

It is essential that you hold a PhD (or close to completion) in infectious disease modelling, applied computing, applied mathematics, statistics, epidemiology or relevant quantitative science. You will have sufficient specialist knowledge in genetics, modelling and pathogen dynamics, and be able to work within established research programmes. You will have excellent communication skills, and be able to manage your own academic research. Experience of coding in C (or closely related language), including scientific algorithm development for simulation and/or statistical inference is also essential for the role.

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 on a fixed term contract for 2 years in the first instance and is funded by the Li Ka Shing Foundation.

Please note that the position closes on 18 January at 12 noon, not midnight.

For questions, please contact Lucie Abeler-Dorner on lucie.abeler-dorner@bdi.ox.ac.uk.