About the role
This is an exciting opportunity to develop and use mathematical models to investigate health inequities in a range of infectious diseases in Africa.
The post-holder will be motivated to address health inequalities in infectious diseases that affect Africa, both between countries and within them. They will bring infectious disease dynamics skills and perspectives to research that will develop approaches to accelerate the role of new prevention and control interventions in generating equitable health outcomes for infectious diseases in Africa. There will be an opportunity to engage in a range of the Consortium’s research activities, working in equitable partnership to both support and develop studies.
The position is based in London at the Institute for Global Health, University College London (UCL), with opportunities for hybrid work in line with UCL policy. The role will also involve some overseas travel.
This is a full-time role ( hours per week) and it is available 01 May until 31 Dec in the first instance, with likely further extension.
A job description and person specification can be accessed at the bottom of this page.
Salary range: £45, to £52, per annum (including London Allowance), depending on experience.
If you have any queries about the role, please contact Dr Liz Fearon at .
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 hold a relevant doctoral degree ( infectious disease modelling, epidemiology, medical statistics, health data science, applied health economics, mathematical modelling in another sector) or have equivalent relevant experience.
The post holder must also have experience in research related to population health, ideally in infectious diseases and/or in African settings.
The ideal candidate will have:
1. Strong skills in mathematical model development/adaptation and fitting models to data.
2. Good proficiency in coding ( in R, Python) for model implementation, simulation, analysis and presentation of results.
3. Proficiency in data handling and understanding of data confidentiality requirements.
4. Excellent writing skills that allow description of technical analyses in an understandable and engaging fashion.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
5. 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
6. Additional 5 days’ annual leave purchase scheme
7. Defined benefit career average revalued earnings pension scheme (CARE)
8. Cycle to work scheme and season ticket loan
9. Immigration loan
10. Relocation scheme for certain posts
11. On-Site nursery
12. On-site gym
13. Enhanced maternity, paternity and adoption pay
14. Employee assistance programme: Staff Support Service
15. Discounted medical insurance