Research Associate Job Type: Full-Time. Starting Salary: £48056 - £56345 per annum plus benefits To find out more about the job please click the ‘apply for job’ button to be taken to Imperial job site About the role Applications are invited for a Research Associate post in the Department of Infectious Disease Epidemiology based at the White City Campus of Imperial College London. The department undertakes leading interdisciplinary research on infectious diseases, using approaches ranging from molecular epidemiology, through field research, to mathematical studies of transmission dynamics and disease control. A wide range of pathogens are studied in the department, including vector-borne diseases, influenza viruses, several major bacterial pathogens and a variety of parasitic infections among others. The department offers excellent research facilities and a friendly, intellectually stimulating working environment. What you would be doing The Research Associate will be responsible for supporting the Wellcome-funded Climate Programme of the Vaccine Impact Modelling Consortium which aims at better characterising the mechanistic relationship between environment, climate and disease transmission to assess implications of long-term climate change for disease burden, range and routine vaccination. The Research Associate will focus on the development of a climate driven dengue transmission model which will be fitted to global time series data using state of the art inferential methods and the high-performance computing facility of the MRC-GIDA and Imperial College. The Research Associate will be responsible for: The development of mathematical models of dengue transmission dynamics that incorporate mechanistic representations of the effect of temperature and rainfall on vector population dynamics and dengue transmission The development of Bayesian inferential methods and code for fitting transmission models to case incidence time series and serological data, in Ensuring that the data used is accurate, up-to-date and complete; The interpretation of results and effective communication, visually, orally and written; Leading high-impact manuscripts through the peer-review process; Representing VIMC attending meetings and committees as required; Providing guidance to other staff, including the co-supervision of MSc and PhD students internally and externally; Promote the reputation of VIMC, the School of Public Health and Imperial College. What we are looking for Candidates must have a PhD in a scientific area related to infectious diseases or similar subject with a strong background in advanced analytics. Experience in the development of mathematical models, implementation of Bayesian methods for parameter inference and R programming are essentials. Experience in management and analysis of epidemiological data, in the use of machine learning/AI and working as part of international teams are desired. Applicants should be able to work independently and collaboratively. Excellent communication skills are essential. What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: Gain access to Imperial\\\'s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes). Further information This role is offered on a full time, fixed term basis until 31 July 2027 in the first instance. If you require any further details on the role please contact: Prof Neil Ferguson - neil.fergusonimperial.ac.uk .