Research Assistant/Associate in Genetic Statistics/Epidemiology (ref. 17280)
School of Social and Community Medicine
- £30,122 - £38,140
- Level a - Level b in Pathway 2
- Closing date for applications:
- 9:00am 16 Jul 2012
We are seeking to appoint a talented and able medical statistician/epidemiologist to contribute to a UK-wide collaboration (UCLEB) on the genetics of chronic disease and to other large genetic collaborations based at the MRC Centre for Causal Analyses in Translational Epidemiology (CAiTE).
You will have a PhD or a relevant Masters degree and be experienced in epidemiology and quantitative data management, with skills in the use of databases and statistical software packages relevant to genetic association studies. You will be well-organised, have excellent communication skills and be self-motivated; experience of basic statistical techniques is required.
Knowledge of advanced statistical techniques used in genetic epidemiology is desirable. You will be responsible for maintaining and updating the databases of a number of large cohort studies sited in MRC CAiTE (including high density genetic data from METABOCHIP and GWAS), manipulating data e.g. to create new variables, providing relevant sub-sets of data to members of the UCLEB and other collaborations, dealing with and logging data requests, conducting basic statistical analyses and participating in more complex analyses as appropriate to your level of experience. You will also be required to participate in report-writing and preparation of papers for publication.
UCLEB is a major new collaboration in applied and translational cardiovascular genomics, funded by the British Heart Foundation, and involving researchers from Edinburgh, London and Bristol. It uses data from the British Women’s Heart and Health Study and Caerphilly study in Bristol and focuses largely on adult cohorts. MRC CAiTE is also involved in a large number of GWAS collaborations using data from the Avon Longitudinal Study of Parents and Children which has GWAS data on ~8,000 mother-offspring pairs and an extensive range of phenotypic data on these participants.
The appointment will be full-time on Grade I (research assistant)or J(research associate), depending on qualifications and level of experience, and funding is currently available until 31 March 2015. There may be opportunities for outstanding candidates to continue working in the Department beyond this time. The post is ideally suited to someone with an MSc/PhD in epidemiology or medical statistics.
Download full details (17280fds.doc)
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- Contact for informal enquiries:
- Professor D Lawlor (D.A.Lawlor@bristol.ac.uk | 0117 331 0096)
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