Senior Researcher in Infectious Disease Modelling
Big Data Institute, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN
Grade 8: £41,526 - £49, 553 per annum (with discretionary range to £54,131)

We are seeking a highly-motivated Senior 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.

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 statistical analysis methods, and error – checking methods for use in projects. You will raise research funds through grant applications, and be responsible for your own area of large research budgets. You will actively manage collaborations with colleagues working on the projects, both within the Pathogen Dynamics Group at Oxford and more broadly. As senior researcher, you will provide guidance to less experienced members of the research group, including postdocs, research assistants, and PhD and project students.

It is essential that you hold a PhD in infectious disease modelling, applied computing, applied mathematics, statistics, epidemiology or relevant quantitative science. You will have demonstrable experience in modelling or stimulation science, and have sufficient knowledge in infectious disease modelling. You will have a strong publication record and familiarity with the existing literature and research in the field, and have excellent communication skills. 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 and is funded by the Li Ka Shing Foundation

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

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