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Postdoctoral Research Associates in Computational Regulatory Genomics : London, United Kingdom

Postdoctoral Research Associates in Computational Regulatory Genomics

Post 1: Salary in the range: £33,860 – £36,580 per annum

Post 2: Salary in the range: £33,860 – £40,620 per annum

Hammersmith Campus

We are looking for two highly skilled and ambitious Research Associates, with a background in comparative genomics, promoter analysis, experimental functional genomics or a related field.

The posts are funded by a Wellcome Trust Investigator award to investigate the role of core promoters and their diverse architectures in vertebrate development and differentiation, and to devise approaches to study them in zebrafish as a model organism. The computational resources needed to study these phenomena include software tools for the analysis of promoter and enhancer elements and, web-based resources for the integration and visualization of sequence and epigenetic experiments, and databases of expression patterns of regulatory elements tested in zebrafish. The experimental methods include cap analysis of gene expression (CAGE), including single-locus CAGE and other planned derivatives of the method,CRISPR/Cas9 and other planned derivatives, as well as supporting ChIP-seq and reporter assays in developing embryos.

The posts are a unique opportunity to work on developing cutting-edge approaches in a rapidly growing field of research, in one of the leading research environments in Europe and the world. The post holders will have the opportunity to work with a worldwide network of collaborators, attend scientific conferences, and publish the results of their work.

You should have a PhD in Computational Biology, Molecular Biology or a related discipline, and a strong publication record in high quality journals, preferably as first author. Knowledge of Molecular Biology and genomics is expected, as well as knowledge of applications of statistics in molecular biology, genomics or population genetics. Experience with programming and analysis of next generation sequencing data in R/Bioconductor and evidence of high level of proficiency in at least one general programming language (Python, Perl, or C++ are preferred) are essential. The candidates should have a strong publication record indicating potential for independent high-impact research, as well as in-depth knowledge of molecular biology and evidence of knowledge programming and analysis of genomics data. Experience with R/Bioconductor programming is a strong plus. The posts are open for candidates wishing to pursue a career in computational genomics in collaboration with experimental researchers, and to candidates who wish to combine of experimental and computational approaches in their own work.

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