The core bioinformatics group at the Gurdon Institute, University of Cambridge is recruiting a bioinformatician to extend our capabilities in delivering world class research into developmental biology and cancer. This new group supports researchers across the institute in experimental design, analysis and presentation of high throughput data. Computational biology themes within the institute include analysis of whole genome sequencing, RNA-seq, ChIP-seq, DamID, proteomics and increasing amounts of single-cell multiomics. These are enabled by our in-house Illumina Novaseq DNA sequencer, Chromium 10X single-cell platform and dedicated compute cluster, as well as access to wider University resources. You will work collaboratively with researchers to develop new scientific understanding and contribute to publications. In addition, and depending on your skills and interests, you may contribute to the development of pipelines to supply researchers with processed data or develop new computational methods which would be widely applicable to institute research. You will maintain an awareness of current developments in the bioinformatics literature to support projects.
You will have a strong background in bioinformatics, prior experience in the analysis of high-throughput genomic and transcriptomic data, and excellent computer skills (in programming and sequencing analysis software). A high level of proficiency in Python and R programming in a LINUX/UNIX environment is essential. Experience of High-Performance Computing clusters, workflow managers (e.g. Nextflow, Snakemake) and version control (e.g. Git) would be an advantage. Training to develop your skills as a bioinformatician will be an important part of the role.
You should also have a PhD in a relevant subject (Computational Biology or Computer Science), a sound understanding of molecular biology, and a publication track record in bioinformatics. You will be expected to be able to work independently and interact well in a dynamic multidisciplinary team environment. You will be able to communicate ideas and results clearly to wet lab scientists. You will be able to show evidence of methodical working, excellent record keeping and timely delivery of results.
Limited funding: The funds for this post are available until 30 November 2023 in the first instance.
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