Grade I or J/Pathway 2 – £33,199 – £37,345 (Grade I) £37,345 – £38,460 (Grade J spine point 1&2) per annum (pro rata if applicable)
We are seeking to appoint a talented individual to undertake applied epidemiological investigations into the aetiology of Alzheimer’s disease at the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol. The successful candidate will largely contribute to a project funded by BRACE charity (http://www.alzheimers-brace.org/) to identify early determinants and causal environmental risk factors for Alzheimer’s disease. They will have the opportunity to work collaboratively with many researchers across the Unit, and with external collaborators. A major focus of the post will be investigating the genetic overlap between Alzheimer’s disease and other diseases or traits using polygenic risk scores and using genetic variants for inferring causality. The successful candidate will be applying polygenic risk score analysis and Mendelian randomization analyses, in particular newly developed two-sample Mendelian randomization approaches utilizing large-scale available datasets as well as in-house data, such as the Avon Longitudinal Study of Parents and Children (ALSPAC, www.bris.ac.uk/alspac) cohort, and summary statistics from the International Genomics of Alzheimer’s Project (IGAP).
The successful candidate will have experience in genetic epidemiology, statistical genetics, medical statistics or epidemiology and excellent quantitative research skills. They will have a clear desire to learn new skills and the ability to work independently and communicate effectively.
Informal enquiries can be made to: Dr Evie Stergiakouli, email@example.com
We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.
To apply please visit our website at www.bris.ac.uk/jobs enter the vacancy number into the job search and follow the link to the online application process.
The closing date for applications is 23:59 on 22 November 2018.