£39,304 to £44,634
An exciting opportunity is available for an ambitious demographer, statistician, or epidemiologist with the Network for Analysing Longitudinal Population-based HIV data on Africa (ALPHA Network). The ALPHA network brings together ten collaborating African research institutes that conduct population-based HIV surveillance in eastern and southern Africa and is coordinated by the London School of Hygiene & Tropical Medicine (LSHTM). Among others, the ALPHA Network harmonizes diverse data sets into a common format so as to conduct comparative studies and meta-analyses on pooled data sets.
The Research Fellow in Demography & Health will join a team of analysts in London to work on a 3-year research project, funded by the Bill and Melinda Gates Foundation to estimate HIV incidence and mortality, and in the comparison of population-based estimates with those emanating from routinely collected data in health facilities.
The successful applicant must have a PhD in the relevant subject, including demography, medical statistics, epidemiology, or reproductive health (or equivalent working experience in these fields); expertise in the analysis of large and complex (longitudinal) datasets; proven ability to use statistical analysis software (preferably Stata or R); and strong quantitative skills, preferably in the area of demographic estimation. Further particulars are included in the job description.
This full-time position is available as soon as possible for the duration of one year, with the possibility of further extension. It will be based in London in the Faculty of EPH and in the Department of Population Health, at Keppel Street, Bloomsbury. The salary will be on the Academic pathways Grade 6 scale in the range £39,304 - £44,634 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available.
The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.
Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.