We are seeking a mathematical modeller of infectious disease to work on an exciting and collaborative new project funded by the Wellcome Trust to inform the HIV response globally. The position will require the candidate to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who...
We are seeking a mathematical modeller of infectious disease to work on an exciting and collaborative new project funded by the Wellcome Trust to inform the HIV response globally. The position will require the candidate to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who have sex with men, female sex workers), conduct cost-effectiveness analysis and/or to coordinate projects and help team member with administrative tasks.
The project will require to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who have sex with men, female sex workers), conduct cost-effectiveness analysis and/or to coordinate projects and help team member with administrative tasks.
You will work collaboratively with Prof Marie-Claude Boily at Imperial College, Prof P Vickerman and Dr M Maheu-Giroux at McGill University as well as our other UK and international collaborators and partners.
You will join the HIV Prevention Trials Network (HPTN) Modelling Centre (https://hptnmodelling.org/) and the MRC Centre for Global Infectious Disease Analysis (https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis), and will benefit from the extensive infectious disease modelling expertise of their members. The Centre has built upon a world-leading research group in the Department of Infectious Disease Epidemiology at Imperial College London to undertake applied collaborative work with national and international agencies in support of policy planning and response across a wide range of emerging infectious disease threats and global health challenges.
You should hold a PhD (for appointment to Research Associate) or a first/masters degree (for appointment to Research Assistant) in epidemiological modelling, infectious disease epidemiology, ecology, population biology, mathematics, biostatistics, computer science or an alternative highly quantitative discipline directly relevant to epidemiology and public health.
This role is offered on a full time, fixed term basis in the first instance and you will be based at St. Mary’s Campus.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £40,694 - £43,888 per annum.
Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.
Should you have any queries please contact: Professor Marie-Claude Boily (mc.boily@imperial.ac.uk).
In your application, please refer to Professorpositions.com