We have two exciting job opportunities to work in beautiful Bristol on risk factors for, treatment of, and outcomes of COVID-19 using new population-level databases assembled from linked electronic health records (EHRs). The new NHS Digital Trusted Research Environment (https://digital.nhs.uk/coronavirus/gpes-data-for-pandemic-planning-and-research/guide-for-analysts-and-users-of-the-data#utilisation-views) contains data on nearly the whole English population. We are building our collaboration with OpenSAFELY (https://opensafely.org/) who have set new standards in secure, open research based on very large EHR datasets. We also play a major role in the new Longitudinal Health and Wealth National Core Study, which is combining data from the major population-based cohort studies and linking these data with population-level EHRs.
The postholders will join our growing team of data scientists, medical statisticians and epidemiologists at the University of Bristol, who are among the first to access these new national EHR resources. They will work with and across our major research centres, the MRC Integrative Epidemiology Unit (http://www.bristol.ac.uk/integrative-epidemiology/), NIHR ARC West (https://arc-w.nihr.ac.uk/about-arc-west/) and the NIHR Bristol Biomedical Research Centre (https://www.bristolbrc.nihr.ac.uk/).
Job descriptions are at https://www.bristol.ac.uk/jobs/find/details/?jobId=205214&jobTitle=Research%20Associate%2FSenior%20Research%20Associate%20in%20Medical%20Statistics%20and%20Health%20Data%20Science. Or, go to bristol.ac.uk/jobs and search for job number ACAD104946.
Please contact Jonathan Sterne ([log in to unmask]<mailto:[log in to unmask]>) or Rachel Denholm ([log in to unmask]<mailto:[log in to unmask]>) for further information about the positions.
Closing data is 26 January 2021.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|