From Mike Weale:
Postdoctoral Research Associate, Bioinformatics / Statistical Genetics
King’s College London
The post-holder will spearhead computational and statistical analyses of expression quantitative trait locus (eQTL) and allele-specific expression (ASE) signals in a large and ongoing study of the genetic regulation of multiple human brain tissues. Analyses will combine genomewide SNP data with whole-transcriptome RNA-seq data. Development of novel statistical genetic methods relevant to on-going studies will be strongly encouraged.
There are many computational and statistical challenges to be addressed. Correlations in expression levels among tissues and genes will need to be adequately accounted for in the downstream analysis, as will heterogeneity in eQTL strength among tissues and among alternative transcripts for the same gene. The appointee will benefit from being part of an important internationally recognized project, and will receive support from data analysis teams at both King’s College London (KCL) and University College London (UCL).
Applications are welcome from candidates with a PhD in a relevant subject area with experience of analysing scientific data. Competency in both statistics and especially programming (HPC computing, R/python or equivalents) are essential requirements.
**Important** The KCL component of this post will last until 31 March 2015, at which point the post-holder will be invited to apply for the equivalent post at University College London for an additional 15 months. Thus while the post duration is officially 16 months, the transfer to UCL for an additional 15 months should be more or less automatic given the project-specific relevant skills that the post-holder will have at that point.
The appointment will be made, dependent on relevant qualifications, within the Grade 6 scale, currently £33,654 – £39,705 per annum, plus £2,323 London Weighting Allowance.
For informal enquiries about the post please contact Dr Michael Weale at firstname.lastname@example.org
Formal application must be through the KCL online application system, available via the KCL website for this post:
Job Ref: WMGA94513MK
Closing date for applications: 13 Jan 2014