|Salary:||£25,742 to £28,759|
|Placed On:||3rd October 2023|
|Closes:||5th November 2023|
The Role and the Department
The Directorate of Advanced Research Computing (ARC) provides a focal point dedicated to the computational support of research: enabling academic leadership through the adoption and evolution of leading technology; fostering associated expertise; and enhancing interdisciplinary collaborations. Its main activities involve the provision of computing platforms, such as High Performance Computing & Cloud, research software engineering, and the development and retention of expertise so it can effectively respond to the broad research portfolio within the organisation.
The Department of Biosciences is composed of academic staff and research fellows with research and teaching interests that span the broad spectrum of the Biosciences. The Department studies biology from the smallest to the largest scales; from the structures and functions of biological molecules, through to cells, tissues and organisms and to the entire global ecosystem. The interests of academic staff include all types of living organisms, from bacteria, through the plant and animal kingdoms, to human health and disease. Effective incorporation of computational methods for ‘Big Data’, AI/ML, modelling and simulation is an increasingly important capability that underpins much of the department’s research portfolio.
This ARC/Bioscience apprenticeship is an exciting opportunity to support research at the intersection of the life sciences with advanced computational practice. As a member of the research computing platforms team, you will be integral to ARC operations, embedded within the Biosciences research environment. As a graduate apprentice, you will be supported to develop specialisms aligned with enabling computationally intensive and data intensive research with Biosciences, commensurate with our global research position and aspirations.
The post holder will be sponsored to undertake further study that will lead to the award of a Level 7 (Master’s level) qualification in Bioinformatics.
Through the apprenticeship the post-holder will develop the capability to draw upon technical and domain-specific context of research computing environments, to ensure the provision of appropriate research computing platforms to enable life science research. They will be supported to develop skills towards providing consultation and specialist knowledge to colleagues within the research community, ensuring effective knowledge transfer both across the institution and externally on matters of expertise. The post holder will be part of the broader network of research computing support, which shares and develops the state of practice of research computing, enhancing the support services ARC provides: working on physical deployments with teams in CIS, Estates and/or external providers as appropriate.
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