The COVID-19 pandemic is the greatest threat posed by a respiratory virus since the 1918 H1N1 influenza pandemic. The evolving nature of the pandemic coupled with the variability in responses that countries have made to date (including in access to vaccines) results in a diverse set of challenges that modelling can help to address.
We are looking for a researcher with experience in:
- Epidemiological analysis – experience in epidemiological analysis of infectious disease data.
- Programming – strong R programming language skills
- Model development and parameter inference – experience in mathematical modelling and infectious disease transmission dynamics, Bayesian statistical modelling methods.
Duties and responsibilities
Areas of work include:
- Analysis and modelling of the epidemic in the UK, informing UK government policy planning.
- Quantifying the past and future impact of vaccination on the global COVID-19 pandemic and implications for relaxation of non-pharmaceutical interventions.
- Quantifying the impact of new variants of concern on transmissibility, severity, vaccine effectiveness and epidemic trajectory
A PhD (for appointment to Research Associate) or a first / masters degree (or equivalent (for appointment to Research Assistant) in one of the following areas: epidemiology, statistics (including computational statistics and machine learning methods), bioinformatics, mathematics, or a similarly quantitative discipline. You will need experience of statistics or mathematical modelling and infectious disease transmission dynamics, Bayesian statistical modelling methods and strong R programming skills.
This role is offered on a full time, fixed term basis until 31 March 2023
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.
Should you have any queries please contact: Prof Azra Ghani ()
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
- Salary £36694 - £49210
- Salary Per annum