Research Associate
6 months ago
The post-holder will be part of Professor De Angelis' team within the Population Health Theme at the MRC Biostatistics Unit (MRC-BSU). The project, funded by a Wellcome Discovery award in collaboration with the Universities of Oxford and Manchester and the UK Health Security Agency, aims to develop new methods to understand community transmission of respiratory infections using data from the Office of National Statistics (ONS) COVID-19 Infection Survey (CIS).
The post-holder will exploit the opportunity offered by the ONS CIS data collection to better understand community infection and transmission. Starting with SARS-CoV-2, the main task is to develop new methods to estimate incidence and transmission, harnessing the rich epidemiological and genomic data available. This will allow quantification of changes in transmission across pandemic waves while disentangling the contribution of different viral lineages. An important constraint in this project is the need for individual-level data to remain within a computationally limited secure research environment, so use of computationally efficient approaches will be key. Outputs will include new estimation tools and inform the design of future population surveys, contributing to pandemic preparedness agenda.
The Biostatistics Unit is committed to supporting hybrid working for all staff, but we do expect that staff will work from the office on a regular basis to help integration and to build our exceptional scientific community. Working entirely from the office is possible.
Fixed-term: The funds for this post are available for 4 years in the first instance.
The interview date for the role is: To be confirmed
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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Research Associate
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Research Associate
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