The John Innes Centre is a world-leading research institute specialising in plant and microbial science and, as such, is firmly in the era of “big data”. Much of our science employs next generation sequencing (NGS) technologies and the aim is to train our staff to become more self-sufficient in carrying out the most common types of NGS-related bioinformatic analysis. We are adopting the Galaxy platform as one way in which to achieve this and we now have an exciting opportunity in the Computational and Systems Biology Department to lead the development and support of our Galaxy instance. The appointee will work closely with Dr Martin Trick and with our Science Computing Team to:
* Populate the Galaxy instance with key NGS workflows for alignment, mapping, variant detection, de novo transcriptome assembly, ChIP-Seq analysis etc.
* Develop training materials (example workflows, online documentation, webinars, and tutorials) in their use and to share and communicate them
* Document the underlying command line elements constituting these workflows as an alternative for direct use in our HPC environment
Applicants may be either post graduates with a first degree in a biological discipline together with a higher qualification and/or substantial experience in bioinformatics or might be trained and qualified in computer science but with a demonstrable knowledge and experience of application in a biological context. Strength in working in a Linux environment and experience of using common bioinformatics tools, particularly those for NGS data analysis, is required. Good knowledge of a scripting language such as Perl or Python, together with some end-user and, ideally, administrator experience of Galaxy would be desirable. As the appointee will create, document and disseminate training assets, excellent communication skills, both verbal and written, are essential.
Please ensure that your online application includes a covering letter in support.