The University invites applications for the above post which is available with immediate effect until 31 July 2018 in the first instance. Salary will be £30,738 to £31,656 according to relevant experience.
The Arthritis Research UK Centre for Epidemiology (CfE) at the University of Manchester is seeking a talented and ambitious biostatistician to join their internationally-leading research centre. You will take a leading role in the analysis of two large longitudinal research studies and join a growing team of CfE analysts and methodologists to support projects across the centre and be supported in their professional development as a biostatistician. The allocation of time on different projects will be arranged by the biostatistician’s line manager and the CfE management team. Cloudy with a Chance of Pain is a large population study and citizen science experiment to investigate the association between weather and symptoms in people with arthritis and other chronic pain. Using participants’ own smartphones, self-reported daily symptoms are collected and, using the smartphone GPS, hourly weather data from the closest weather station is pulled. Throughout the project, simple graphs and other visual data is being shared with participants and the general public who will be invited to suggest ideas about connections in the data (hypotheses), thereby becoming part of the research team. The project involves collaboration with the Health eResearch Centre (HeRC) based in Manchester that combines technology with big health data and modern research methods to improve health for patient and public benefit; uMotif a London-based digital health software development company; and the Office for Creative Research (OCR) in New York. The project has been adopted as one the European City of Science (ECOS) citizen science projects. You will lead the analysis of the association between hourly weather conditions and daily disease symptoms, as well as analysing the association between passively-monitored physical activity and disease symptoms.
The International Pharmacosurveillance Study, funded by the Canadian Institute of Health Research, is examining the comparative effectiveness and safety of drug treatments using electronic patient records across three countries. The third research question to be addressed, and the focus of this funding period, is the comparative safety of opiates for non-malignant pain. In the UK, this analysis will be conducted using data from the Clinical Practice Research Datalink as well as data from Salford Royal NHS Foundation Trust. The analysis will be conducted across the three international sites using a shared analysis protocol, with additional analyses conducted according to the strengths of the local dataset. For example, the shared protocol will consider all-cause mortality and fractures whilst adjusting for selected confounders available in all sites. Analysis of the Salford data will, for example, allow for adjustment for a propensity to fall, an important confounder which is not measured in other settings.
The post will be line managed by Dr John McBeth (Deputy Director, CfE) with further support and guidance from Prof Will Dixon (Director, CfE), Dr Mark Lunt (Reader in Medical Statistics, CfE) and Dr Jamie Sergeant (Lecturer in Medical Statistics, CfE).
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community
Please note that we are unable to respond to enquiries, accept CV's or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr John McBeth
Name: Dr Mark Lunt
Tel: 0161 275 4499
Tel: 01565 818 234
This vacancy will close for applications at midnight on the closing date.
Date of external posting: 03 August 2016