Job summary

We seek an enthusiastic and experienced researcher to join our team to work on a portfolio of mathematical modelling projects. These projects will be in the field of HIV and STI prevention, with a likely focus on estimating the impact of HIV pre-exposure prophylaxis (PrEP) among men who have sex with men (MSM) as well as HIV testing in different HICs and LMICs, such as Benin and the US. The work is partly funded by the Canadian Institute of Health Research, the HIV Prevention Trial Network, and UNITAID.

We are looking for a researcher with a sound background in mathematical modelling, infectious disease epidemiology (especially sexually transmitted infections), statistical analysis and/or meta-analysis, with hands-on experience of conducting analyses to answer important and timely public health questions.

You will join the HIV Prevention Trials Network (HPTN) Modelling Centre ( and the MRC Centre for Global Infectious Disease Analysis (, and will benefit from the extensive infectious disease modelling expertise of their members.

Duties and responsibilities

Key duties are as follows:

  • To develop, code, debug and calibrate dynamic mathematical models
  • To design and conduct large-scale modelling experiments
  • To conduct scoping and systematic reviews of the literature as required
  • Design and conduct secondary data analysis to inform model development and calibration

Depending on your qualifications and experience, you may be responsible for all stages of a mathematical modelling project from developing / adapting and coding mathematical models, model parameterization and calibration, and model analysis, and/or contribute secondary statistical data analysis, scoping reviews or systematic reviews and meta-analysis to larger collaborative projects.

Essential requirements

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, theoretical physics, computer science or an alternative highly quantitative discipline. You should have experience in quantitative data analysis, visualization and interpretation (using statistical software such as R, SPSS, STATA or SAS).

Further information

This role is offered on a full time, fixed term basis until 01 December 2022 in the first instance.

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

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,694 – £39,888 per annum

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