Senior Research Associate in Statistical Genetics - The Avon Longitudinal Study of Parents and Chil

We are seeking to appoint a talented bioinformatician to efficiently manage and automate the handling of large scale genomic data in one of the most vibrant and data rich environments in the field of population based science and applied epidemiology.

 

Initially the focus data will be from two studies. Firstly, The Avon Longitudinal Study of Parents and Children is a densely phenotyped longitudinal birth cohort of ~10,000 mothers, children and fathers for whom genome-wide SNP, CNV and sequencing data are available. New types genetic data are continually being generated as the study continues to grow. Secondly, the Millennium Cohort Study is a unique, multidisciplinary research resource following the lives of over 19,000 children born across the UK around the turn of the millennium with collection of information at ages 9 months, 3, 5, 7 and 11 years. Samples are available from approximately 9,500 cohort members, 9,500 natural, co-resident mothers and 5,000 natural, co-resident fathers and will generate a unique resource of approximately 24,000 samples where new genetic data are being collected.

 

Pipelines are required to automate several common operations that are routinely served by the data. These include subsetting and anonymising datasets for dissemination to collaborators, and various genomic analyses for inclusion in international collaborations. The role will also require running these pipelines when required, and liaising with other wet lab and dry lab researchers within the School of Social and Community medicine to provide scripting and software development. Conducting related research and publishing scientific papers will also be an important element of the role.

 

The successful applicant will have a strong background in statistical genetics and/or genetic epidemiology, and will be qualified to the PhD level (or equivalent) in this field. Strong computing skills, experience in the handling of large-scale sensitive data sets, and an ability to work effectively in a multi-disciplinary environment would be an advantage.

 

The successful applicant will be a researcher who is familiar with large scale genomic data, adept at scripting, and who has excellent communication and team-working skills. The successful applicant will be based within the Avon Longitudinal Study of Parents and Children (ALSPAC) located within the School of Social and Community Medicine, at the University of Bristol.

 

Informal enquiries are welcome, and may be made to Dr. Gibran Hemani (g.hemani@bristol.ac.uk), Dr. Nic Timpson (n.j.timpson@bristol.ac.uk).

 


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