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Position: Research Fellow/Senior Research Fellow in Epidemiology/Statistics
Institution: University College London
Department: Institute of Epidemiology and Health Care - Behavioural Science and Health
Location: London, United Kingdom
Duties: The post-holder will join the Department of Behavioural Science and Health at UCL to undertake statistical analyses of NHS patient electronic medical records to understand the uptake and impact of Social Prescribing referrals in the UK. Specifically, the post-holder will be responsible for analysing SNOMED codes relating to Social Prescribing to understand (i) who is receiving referrals, (ii) who is taking up referrals, and (iii) how referrals are associated with a range of outcomes including subsequent health diagnoses, prescribing, and health service utilisation
Requirements: Applicants are sought with a research background in statistics, medical statistics, epidemiology, quantitative social science or other relevant discipline and experience undertaking advanced longitudinal statistical methods. Experience in working with NHS electronic patient records is also sought. The post can be appointed at either Research Fellow or Senior Research Fellow level
   
Text: Research Fellow/Senior Research Fellow in Epidemiology/Statistics, - Ref:1880540 Click here to go back to search results Apply Now UCL Department / Division Institute of Epidemiology and Health Care Specific unit / Sub department Behavioural Science and Health Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7 £36,770 - £44,388 per annum or Grade 8 £45,610 - £53,757 per annum Duties and Responsibilities The post-holder will join the Department of Behavioural Science and Health at UCL to undertake statistical analyses of NHS patient electronic medical records to understand the uptake and impact of Social Prescribing referrals in the UK. Specifically, the post-holder will be responsible for analysing SNOMED codes relating to Social Prescribing to understand (i) who is receiving referrals, (ii) who is taking up referrals, and (iii) how referrals are associated with a range of outcomes including subsequent health diagnoses, prescribing, and health service utilisation. Available from 1st January 2022 for 18 months, in the first instance. Key Requirements Applicants are sought with a research background in statistics, medical statistics, epidemiology, quantitative social science or other relevant discipline and experience undertaking advanced longitudinal statistical methods. Experience in working with NHS electronic patient records is also sought. The post can be appointed at either Research Fellow or Senior Research Fellow level. For appointment at Grade 8; experience contributing to the writing of grant applications. Postdoctoral experience conducting high quality academic research. Experience of presenting to academic and non-academic audiences at conferences, seminars, and other events. Knowledge of statistical concepts of, and methods for, causal inference (e.g., use of directed acyclic graphs, marginal structural models, g-estimation, or instrumental variable techniques). Further Details A job description and person specification can be accessed via the link at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. If you have any queries regarding the application process please contact Maria Kristensen (m.kristensen@ucl.ac.uk) or Najma Hussain (najma.hussain@ucl.ac.uk). Informal enquiries should be made to: Dr Daisy Fancourt, d.fancourt@ucl.ac.uk. We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 12 Dec 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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