We are looking for an enthusiastic and motivated Research Training Lead to work on a UKRI-funded project. Cloud-SPAN is a collaboration between the Department of Biology and the Research Computing Team at the University of York, and the Software Sustainability Institute (SSI) which aims to upskill bioscience researchers in the specialised analyses for Environmental Biotechnology with Cloud-based High Performance Computing. The project will provide structured Learning Paths from the statistical skills required for robust experimental design through to the reproducible execution and interpretation of 'omics analyses with HPC to cater to researchers with differing levels of previous experience and which allow self-assessment of training needs. Sustainability will be fostered by making the resources Findable, Accessible, Interoperable and Reusable (FAIR), providing cross-platform images for deployment and by developing a Community of Practice and providing Code Retreats for the supported practice of methods to participants' own data.
You will be a data enthusiast who loves to share their expertise and wants to improve the UK’s capacity to address global challenges such as environmental protection, bio-remediation and resource recovery. You will contribute to the development and delivery of foundational and advanced modules covering the specialised skills required to generate and analyse 'omics data using Cloud HPC resources. You will be responsible for ensuring resources are Findable, Accessible, Interoperable and Reusable (FAIR) and developing a Community of Practice for the supported practice of methods to participants' own data. The modules will include experimental design and statistical modules and deploy cloud-based containerised instances provided by Google Education and Amazon Web Services (AWS). They will form a complete training resource that can be used for in-person or online tutor-led workshops or self-paced learning. We expect the role to be of interest to a postdoctoral researcher but will also consider talented individuals without a PhD.
Interview date: Wednesday 21 July
For informal enquiries: please contact Emma Rand (email@example.com) or James Chong (firstname.lastname@example.org).
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