4-year PhD position in Statistical Genomics/Genetic Epidemiology

The successful applicant will focus on modelling the genomic influences underlying early language and social behaviour including links with brain-related phenotypes, rhythmicity and later-life outcomes but also family-related and societal influences.
Analyses will include information from population-based cohorts (e.g. the EAGLE consortium) and clinical collections (e.g. samples from the
Simons Foundation). Statistical analyses will include, for example, Mendelian Randomisation-based approaches and structural equation modelling techniques applied to genetic, epigenetic and/or expression data. 

The successful applicant will hold, or shortly expect to obtain an MSc or MA qualification in Statistical Genomics, Genetic Epidemiology, Medical Statistics, Computing or a related quantitative discipline. Applicants should have a strong computational background with knowledge of shell, R, and Python, Perl or another programming language. Knowledge of one or more of the following data-analytical approaches is an advantage:

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'Genomics' methods to analyse the genetic architecture of human phenotypes§
Integration of biological information from a wide range of (publicly available) data resourcesFamiliarity with the genetic architecture of Autism Spectrum Disorder (ASD) is a further advantage.