Salary: Grade 7: £32,236 - £39,609 p.a.
We are looking for a computational biologist to join the Gullerova group at Sir William Dunn School of Pathology in Oxford to reinforce our teams effort in the understanding of mechanisms underlying the transcription and the role of RNA in DNA damage response. We perform a variety of cutting-edge experimental as well as genomic assays using cancer cells to assess the gene expression and the role of RNA in DNA damage response.
The position would suit a bioinformatician who enjoys developing tools and statistical modelling to analyse complex NGS and cancer related biological data sets. You will manage your own academic research and administrative activities; adapt existing and develop new scientific techniques and experimental protocols and test hypotheses and analyse scientific data from a variety of sources, and be able to review and refine working hypotheses as appropriate. You should have a relevant PhD/DPhil or being close to completion. You should have relevant experience in handling sequencing data such as RNA-seq, ChIP-seq, and others; sequencing data aligners such as bowtie/BWA and splicing-aware aligners (STAR, HISAT2); differential gene expression analysis (e.g. DESeq, edger); sequencing data processing utilities such as samtools, bedtools and others. The postholder will be actively involved in planning and leading the analysis of large-scale experiments therefore, should demonstrate strong statistical and computational skills and have past experience working with genomic datasets. We are looking for someone creative, who will engage in the ongoing research projects as well as demonstrate independent thinking. You will be supported to formulate and develop your own scientific questions within the scope of the groups interests. The position offers an exciting opportunity to work at the world-class biomedical research institute and to participate in the development and application of computational methods to elucidate the relevance of RNA for the DNA damage response.
This is a full-time fixed-term appointment for 2 years. If you are interested in this role, and have the skills and experience we are looking for, please apply online. You will be required to upload a CV and supporting statements as part of your online application.
The closing date for application is 12.00 midday on Friday 10 May 2019. Interviews will be held as soon as possible thereafter.