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Based at
University of York
Hours of work
Contract status
Fixed term
32,817 - 40,322 per year (reduced pro-rata)
Interview Date
Posted Date
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Role Description


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.

Skills, Experience & Qualification needed


  • First degree in science based discipline
  • Demonstrable understanding of data analysis and an ability to program data analysis tasks in at least one programming language
  • Well developed communication skills to engage effectively with a wide ranging audience, both orally and in writing, using a range of media
  • An ability to simplify complex material to be used by novices and non-experts and to develop training materials and experience of resolving computing problems
  • A well-developed ability to work in a small team collaboratively and experience of working in teams


  • Knowledge of genomics, Cloud computing, FAIR (Findability, Accessibility, Interoperability, and Reuse) Principles and The Carpentries
  • An ability to use Cloud HPC resources to analyse data independently and collaboratively and write up work for publication and conference presentations

Interview date: Wednesday 21 July

For informal enquiries: please contact Emma Rand ( or James Chong (

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