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Senior Research Associate/Research Associate in Medical & Pharmaceutical Statistics

Mathematics & Statistics
Salary:   £26,829 to £38,183
Closing Date:   Sunday 03 September 2017
Interview Date:   Monday 25 September 2017
Reference:  A1909

We are seeking applications for two 3-year (Senior) Research Associate post to work within the Medical and Pharmaceutical Statistics (MPS) Research Unit ( in the Department of Mathematics and Statistics at Lancaster University. The Medical and Pharmaceutical Statistics Research Unit is directed by Prof Thomas Jaki and undertakes collaborative research with the pharmaceutical industry and medical research institutes.

The posts are offered for a three year period in the first instance and we are seeking researchers with an interest in adaptive and Bayesian methods for clinical trials. These posts offer the opportunity to develop an independent research profile and support for the post holders to obtain their own funding is provided. MPS is part of the MRC North West Hub for Trials Methodology Research (NWHTMR) and the network of Hubs ( The NWHTMR is a collaboration between the Universities of Liverpool, Lancaster, Manchester and Bangor in which the Unit leads the theme on the design and analysis of early phase clinical trials.

You will work on methods for adaptive/Bayesian clinical trials, provide support for trials implementing novel designs and become involved in professional development courses associated with your expertise.
Experience of teaching and programming skills using software such as R are desirable, but training on these aspects of the job can be provided.

Starting date: 2 January 2018 or as soon as possible thereafter. 

This appointment will be to either a Senior Research Associate (Grade 7) or a Research Associate (Grade 6).
Informal enquires can be addressed to Prof Thomas Jaki (

We welcome applications from people in all diversity groups.

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:

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