The MRC Biostatistics Unit is a leading centre of innovative biostatistics research. An opportunity has arisen for a talented biostatistician to work with Dr Jessica Barrett on statistical methodology for modelling cardiovascular (CVD) risk factors. The project will involve modelling repeated measurements of multiple cardiovascular risk factors. Methodology will be developed to address clinical questions, such as the association of blood pressure variability with CVD, the impact of informative observation of repeated measurements on CVD risk prediction models and the timing of risk factor measurements.
The successful candidate will have a PhD or equivalent in statistics and experience of statistical methods for the analysis of longitudinal data and survival data and the use of statistical software such as R or Stata. Knowledge of joint modelling of longitudinal and survival data and/or landmarking for dynamic risk prediction would be desirable. Willingness to collaborate with others and an open-minded approach to problem solving are essential. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.
Fixed-term: The funds for this post are available for 3 years in the first instance.
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. 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 email address and phone number, one of which must be your most recent line manager.
The closing date for applications is the 8th October 2017 with interviews yet to be confirmed by the department.
Please quote reference SL12099 on your application and in any correspondence about this vacancy.
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