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ALLSTAT  June 2018

ALLSTAT June 2018

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Subject:

JOB : MRC Postdoctoral Fellow (SL15937), MRC Biostatistics Unit at University of Cambridge

From:

Andrea Wadeson <[log in to unmask]>

Reply-To:

Andrea Wadeson <[log in to unmask]>

Date:

Wed, 20 Jun 2018 10:34:18 +0100

Content-Type:

text/plain

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This is an exciting opportunity for an ambitious Research Fellow to join the MRC Biostatistics Unit to carry out research within the "Statistical methods Using data Resources to improve Population Health (SURPH)" research programme. A component of this programme is devoted to develop statistical methodology to address substantive problems in the epidemiology of infectious diseases with the ultimate goal of providing accurate and timely quantitative support to public health policies. You will join an internationally renowned Biostatistics Unit and a team working at the cutting edge of development and application of Bayesian evidence synthesis.

This role will focus on the development of computationally efficient inference and prediction methods for a range of complex infectious disease models. The work is in collaboration with Public Health England and the post will be part of the EPSRC funded New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences cross-institution research team developing Bayesian methods, motivated by and applied to a range of health science applications. This cross-institutional team includes researchers at the Universities of Bristol, Cambridge, Lancaster and Warwick.

You will have, or be close to completing, a PhD (or equivalent) in statistics, biostatistics or related discipline and will be experienced in Bayesian statistics and relevant computational techniques. You will have demonstrated ability to develop new statistical methodology, have good computational skills (eg advanced use of statistical packages such as R), good communication skills and ability to write scientific papers. You will play a major role in the strategic development of the research group, by undertaking and supporting research through introduction of new ideas, publication in leading statistical/application journals, presentation of research at workshops and conferences and by training of others. This position is within the team led by Daniela De Angelis, but you will also work closely with the other teams within the Unit and actively interact with the relevant external collaborators.

The MRC Biostatistics Unit aims to advance medical science by the development, application and dissemination of statistical methods. It is one of Europe's leading biostatistics research institutions and includes many internationally renowned statisticians. It provides a privileged environment for conducting research within the Cambridge biomedical environment.

Fixed-term: 3 years.

To apply online for this vacancy, please go to  http://www.jobs.cam.ac.uk/job/17909/ and click on the 'Apply' button. 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 Monday 16th July 2018 and interviews are likely to be held on Tuesday 31st July 2018.

Please quote reference SL15937 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.

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

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