Research and Teaching Fellow in Statistical Epidemiology

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University of Oxford

Oxford, United Kingdom

Application Deadline
£33,309 - £40,927

Nuffield Department of Population Health,

Location: Old Road Campus, Headington, Oxford

Grade 7: £33,309 - £40,927 p.a.

The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The National Perinatal Epidemiology Unit (NPEU) is a research unit based within the NDPH at the University of Oxford, Old Road Campus in Headington, Oxford. The unit's aim is to conduct methodologically rigorous research to provide evidence to improve the care provided to women and their families during pregnancy, childbirth, the newborn period and early childhood as well as promoting the effective use of resources by perinatal health services.

We are looking for a Teaching & Research Fellow in Statistical Epidemiology to conduct research within the NPEU and to assist with the development and teaching of the MSc Global Health Science and Epidemiology.

The research aspect of your role (60% of your time) will involve being part of a team designing, conducting and analysing projects on maternal and neonatal health and care, including the analysis of maternity survey data, other primary data collections, data from secondary sources and large routinely collected datasets. The teaching element of the role (40% of your time), will include: organising and running 'consolidation' sessions for statistics and epidemiology; setting, marking and providing feedback on assessments in a tutorial setting; and supporting students who are experiencing particular difficulties with statistics.

To be considered you will have post-graduate degree (MSc or PhD) in Statistics or Epidemiology or a health-related degree which includes a substantial amount of biomedical statistics, enjoy preparing and delivering teaching at graduate level and experience working as a Statistician. You will be proficient with statistical software, particularly Stata, and have experience managing large datasets. You will also need exceptional oral communication skills, and a publication record commensurate with stage of career.

The post is full time (part time considered) and fixed term until 31st December 2023.

The closing date for applications is noon on 19th October.

Interviews will take place on 3rd November 2021.


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