Research Associate - Statistician (Fixed Term), University of Cambridge PDF Imprimir E-mail
Miércoles, 23 de Noviembre de 2016 09:44

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The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The UKCRC Centre for Diet and Activity Research (CEDAR) is a partnership between the University of Cambridge, the University of East Anglia and the MRC. CEDAR studies the factors that influence dietary and physical activity related behaviours at the population level and the development and evaluation of interventions to help shape public health practice and policy.

We are seeking a statistician to contribute to collaborative work between the MRC Biostatistics Unit and CEDAR. This will involve developing Value of Information (VoI) methods by applying them within health impact assessment (HIA) models. VoI is used to guide model development by identifying which parts of the model have the greatest impact on the result or decision arising from the model, and to assess the potential value of obtaining further data to reduce uncertainties. The work relates to the development of the ITHIM tool (, used in several research projects and policy applications in UK, USA and elsewhere in the world. ITHIM estimates health risks and benefits of transport related scenarios by taking into account changes in physical activity, injuries and air pollution exposure.

The successful applicant will have a PhD in statistics, or a PhD in a related subject and statistical experience to an equivalent level. Experience in Bayesian methods, evidence synthesis or decision-analytic models in healthcare or related areas would be an advantage. 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 24 months 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.

The closing date for applications is Sunday 6th November 2016.

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

Please quote reference SL10343 on your application and in any correspondence about this vacancy.

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