Statistical Epidemiologist at University of Oxford

Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Oxford Population Health is a key partner in the Big Data Institute (BDI), contains world-renowned population health research groups, and is an excellent environment for multi-disciplinary teaching and research.

We are seeking a Statistical Epidemiologist with experience of epidemiology and epidemiological data analysis to join our team in the Cancer Epidemiology Unit. You will be joining our collaborative research team of epidemiologists and statisticians.  You will work as part of the research team designing and implementing appropriate methods for the analysis of data arising from research projects on lifestyle and behavioural factors, particularly sleep and shiftwork, and on health outcomes.

This is an exciting opportunity to work on large-scale studies of sleep and shiftwork, related characteristics and health-outcomes. This work will contribute to an NIHR-funded programme on shiftwork and associated sleep disorders. Leveraging large-scale cohort data, the main objectives of the research are: (1) to characterise the burden of sleep problems in UK shiftworkers using established cohort studies, and (2) to identify risk factors for sleep problems in UK shiftworkers to inform possible targets for intervention. Findings will feed into the design of interventions for reducing the adverse impacts of shiftwork in the NHS. Within the Unit, we also have programmes of research on hormones, nutritional, molecular and genetic markers in relation to prostate and breast cancer and other common non-communicable diseases, and you may also work on other related epidemiological analyses.

To be considered you will hold (or be close to completion of) a PhD in medical statistics, epidemiology or other relevant subject. You will also have experience of data analysis in epidemiology, public health or similar fields and programming skills in a statistical language, including STATA or R. Experience of analysing of questionnaire, biomarker, dietary, genetic and molecular data would be desirable.

The post is full-time (although part-time is considered) and fixed term for two years. The closing date for applications is noon on Wednesday, 7 June 2023.

You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.