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Applied Statistician - Research Associate (Fixed Term)

University Of Cambridge is pleased to invite applicants to apply for a postdoc position. This fellowship is available for all students around the world. Applications are invited up to September 18, 2018.

We seek to appoint an applied statistician to an interdisciplinary research unit in population health and genomics (the BTRU; www.donorhealth-btru.nihr.ac.uk). The post holder will contribute to the statistical analysis of ~80,000 UK blood donors in the INTERVAL study (www.intervalstudy.org.uk) and the COMPARE study (www.comparestudy.org.uk). Analyses will involve applying and adapting statistical methods for longitudinal data, time-to-event data and personalised and dynamic risk prediction. The research focuses on the health consequences of blood donation, based on longitudinal data on haematological variables, haemoglobin and other iron biomarkers, and health outcomes. Findings from the study will have major implications for blood donation policies in the UK (NHS Blood and Transplant; NHSBT) and internationally (see main trial results: www.intervalstudy.org.uk/files/2017/09/INTERVAL-Main-Results.pdf).

The post holder will contribute to reports, presentations and publications based on this work. They will also collaborate with other statisticians and epidemiologists to plan analyses of specific hypotheses relating to genetic, biochemical and lifestyle data that should lead to methodological and applied publications. The BTRU is a partnership between the University of Cambridge, the University of Oxford, the Wellcome Sanger Institute and NHSBT and the post holder will thus have the opportunity to work with a variety of senior scientists. This is an excellent opportunity to contribute to the Unit’s research, as well as gain experience managing junior staff and participate in public engagement activities.

The post holder will have: a PhD in statistics or related area or have equivalent qualifications or equivalent experience; a sound understanding of statistical concepts; and strong quantitative skills, including experience of using relevant statistical software (Stata, R). Experience of analysing longitudinal data is essential, while familiarity with the principal methods of addressing missing data is desirable. The post holder should also be able to work independently, accurately judge priorities and have excellent organisational, communication and presentation skills. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience).

Funding is available for two years from commencement in post.

The post holder will work under the direction of Dr Angela Wood. Informal enquiries should be directed to Dr Wood at: amw79@medschl.cam.ac.uk

Location of post: National Institute for Health Research (NIHR) Blood and Transplant Research Unit (BTRU) in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN.

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference RH16547 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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