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Position: Research Fellow: Statistician
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: The VIVALDI study is a longitudinal cohort study which is evaluating the impact of COVID-19 on care home staff and residents in England. The aims of the study are to understand SARS-CoV-2 infection, immunity and its duration in care home staff and residents in England as well as vaccine efficacy in this setting. The successful candidate will be expected to work with the study team to develop detailed analytical protocols for the analysis of VIVALDI immunological and epidemiological. In addition, they will perform high-quality statistical analyses for peer reviewed publications/policy briefings, and advise on statistical aspects of study design
Requirements: The successful candidate should have a PhD or equivalent in statistics and experience of carrying out statistical analyses on large and complex datasets. They should also be able to communicate statistical concepts and results of analyses to a range of audiences (specialist and non-specialist)
   
Text: Research Fellow: Statistician, - Ref:1875952 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,028 - £43,533 per annum Duties and Responsibilities The VIVALDI study is a longitudinal cohort study which is evaluating the impact of COVID-19 on care home staff and residents in England. The aims of the study are to understand SARS-CoV-2 infection, immunity and its duration in care home staff and residents in England as well as vaccine efficacy in this setting. The successful candidate will be expected to work with the study team to develop detailed analytical protocols for the analysis of VIVALDI immunological and epidemiological. In addition, they will perform high-quality statistical analyses for peer reviewed publications/policy briefings, and advise on statistical aspects of study design. The postholder will be based in the UCL Institute of Health Informatics but will work closely with Andrew Copas who is a senior statistician and Professor of Trials in the UCL Institute for Global Health and the MRC Clinical Trials Unit, part of the Institute for Clinical Trials and Methodology, providing ample access to training opportunities and seminars The post is funded until 30 April 2022 in the first instance. Key Requirements The successful candidate should have a PhD or equivalent in statistics and experience of carrying out statistical analyses on large and complex datasets. They should also be able to communicate statistical concepts and results of analyses to a range of audiences (specialist and non-specialist). Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £31,542 - £33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification can be accessed at the bottom of this page. To apply please click the "Apply Now" button below. For an informal discussion please contact Dr Laura Shallcross(l.shallcross@ucl.ac.uk) For any queries regarding this advert or recruitment process please contact Anita Gorasia (a.gorasia@ucl.ac.uk) UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 21 May 2021 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description and Person Specification Apply Now
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