Queen Mary University of London – Wolfson Institute of Preventive Medicine/Preventive Neurology Unit
About the Role
This post is for an enthusiastic and proactive statistician to join the Preventive Neurology Unit (PNU), working on large-scale primary care data to examine pathways to multiple sclerosis (MS) development. This post is funded for 2 years by the NMSS. The successful candidate will design and develop models within the CPRD dataset to examine features of the MS prodrome with a specific focus on the role of gender-specific factors and ethnicity in MS risk. They will move towards causal modelling by integrating clinical and biological expertise into the prodromal and risk models developed in CPRD. The postholder will have the opportunity to take these models into primary care data within UK Biobank, and integrate imaging data into the risk pathways identified.
Candidates must have an MSc or PhD in statistics or a related quantitative field. Experience of using statistical analysis tools (e.g., STATA, R) with large datasets and an understanding of the research process are essential. The post would suit someone who is passionate about early diagnosis and prevention and seeking to develop their reputation and independence in their subject.
About the Centre
The Centre for Prevention, Detection and Diagnosis is at the forefront of international research into the prevention and control of neurological disease and cancer. The preventive neurology unit has particularly active research programmes multiple sclerosis, Parkinson’s disease and dementia. The Centre for Prevention, Detection and Diagnosis also has major expertise in cancer screening, awareness and early diagnosis, and statistical methods for clinical trials and epidemiology, and the postholder would be have access to expertise within these areas to support their professional development.
Informal enquiries should be addressed to Dr Ruth Dobson at email@example.com.
Details about the Institute can be found at http://www.wolfson.qmul.ac.uk/centres/ccp
The closing date for the applications is 06 December 2021. Interviews will be held on shortly thereafter.
To apply for this job please visit webapps2.is.qmul.ac.uk.