Research Associate/ Senior Research Associate in Medical Statistics

City of Bristol (GB)
06 Apr 2017
End of advertisement period
01 May 2017
Contract Type
Fixed Term
Full Time

Research Associate/ Senior Research Associate in Medical Statistics

Job number   ACAD102544

Academic Faculties

Fixed term contract staff

Full or Part time

Salary   Grade I: £32,004 - £36,001/ Grade J: £36,001

Closing date for applications    01-May-2017

This post offers an excellent opportunity for a statistician with an interest in evidence synthesis and Bayesian methods to develop and apply their skills in a novel area. He or she will work on the ‘WATCH’ project (Wastewater Analysis of Traces of illicit drug-related Chemicals for law enforcement and public Health), a new pan-European collaboration funded by the European Commission.

The post is full time for 1 year.

Understanding patterns of drug consumption across Europe is crucial for developing and targeting interventions aimed at reducing drug-related harms. However, surveys and other traditional methods are known to have important biases. The WATCH project will investigate the potential of analysis of communal sewage water samples to improve epidemiological understanding about patterns of stimulant use (cocaine, amphetamine, MDMA, methamphetamine).

The Bristol work package of WATCH is titled ‘Interpreting and modelling wastewater data alongside other data sources’. This will involve investigating the extent of agreement or disagreement between relative amounts of different stimulants or their metabolites in wastewater samples and more traditional epidemiological indicators (e.g. population surveys, the amount of treatment demand, numbers of drug-related deaths). The next stage will be to develop a ‘multi-parameter evidence synthesis’ (MPES) model for at least one European city, in which multiple sources of data will be synthesised together to estimate the total ‘size’ of the local stimulant market. The statistician will collaborate with the EMCDDA (European Monitoring Centre for Drugs and Drug Addiction), epidemiologists in the studied cities and analytical chemists.

The project will involve statistical modelling in a Bayesian framework using e.g. WinBUGS / JAGS. The successful applicant will have a higher degree in statistics or a closely related discipline and experience of carrying out applied statistical research, preferably including publication in peer-reviewed journals. He or she will be joining a team of medical statisticians and health services researchers within the School of Social and Community Medicine and will be a member of the MPES research group ( Writing up results for publication and presentation at conferences will be expected.

Please contact Dr Hayley Jones via or on 0117 331 3941 for any informal queries related to this role.

The University is committed to creating and sustaining a fully inclusive culture.  We welcome applicants from all backgrounds and communities.

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