About the role

In this post you will bring expertise in infectious disease modelling to work with other disciplines and people of lived experience to co-produce transmission models of mpox and other infections in the UK, exploring research questions generated in partnership between researchers, affected community members and other stakeholders. You will reflect on the approaches, methods and tools that you and the project develop to support this process and work with the team to disseminate learnings about both the research questions you address and the co-production process and tools to support it.

This post involves the application and interrogation of key mathematical epidemiology skills: transmission model development and implementation, application to jointly defined research questions, model calibration and analysis and could involve working with different types of model ( compartmental or network/individual-based). Key aspects include: working in collaboration with a diverse team; iterative testing and development of tools to support the co-production process; and regular reflection and assessment.

You will have excellent opportunities for career development, and capacity development is a core value of the project. This includes support to develop your own research ideas, contribute to related projects and teaching, and develop your cross-sectoral network in epidemiological and interdisciplinary responses to epidemics and co-production.

This is a part-time role ( FTE, hours per week) and it is available from January for 24 months in the first instance.

A job description and person specification can be accessed at the bottom of this page.

Appointment will be made at Grade 6B unless the applicant has been awarded a PhD or has equivalent substantial working experience in infectious disease modelling or mathematical modelling when appointment will be made at Grade 7.

Salary range:
Grade 6B: £38, to £41, per annum (including London Allowance), depending on experience.

Grade 7: £43, to £51, per annum (including London Allowance), depending on experience.

If you have any queries about the role, please contact Dr Liz Fearon on .

If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the IGH HR Team on .

About you

The successful candidate must have experience in modelling of infectious disease transmission or mathematical modelling in another sector ( simulation modelling in ecology, health economics, social sciences), with interest in epidemiology and public health and experience in quantitative data analysis and statistics, and familiarity with core epidemiological concepts around sampling, study design principles, and bias.

The ideal candidate will have excellent organisational skills with careful and systematic approach to tasks. They will also have good proficiency in coding ( in R, Python) for model implementation, simulation, analysis and presentation of results.

The post holder will have a PhD (or master’s degree, in the case of Grade 6B) in epidemiology, public health, applied mathematics, statistics, data science, applied computing, ecology, or others or equivalent substantial experience.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days’ annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance