|Salary:||£28,762 to £32,348 per annum pro-rata depending on skills and experience. Salary progression beyond this scale is subject to performance.|
|Placed On:||24th November 2022|
|Closes:||8th December 2022|
The University of Nottingham’s Digital Research Service (DRS) is a dedicated, core facility of Research Software Engineers (RSE) that supports the entire research community in Nottingham by providing expertise and capabilities in the areas of Data Analytics/Data Science, Bioinformatics and Software Development (including High Performance Computing). Our team of 25 interdisciplinary experts make the DRS one of the UK’s largest RSE groups.
The DRS has a proven track record of enabling, improving and impacting research on projects ranging from small proof of concept studies with a handful of data points to large national data infrastructure projects such as the UKCRC Tissue Directory and Coordination Centre and COCONNECT. Over the course of the academic year 2021/2022, the DRS team have successfully completed over 60 projects from a wide range of research domains, including research projects in collaboration with industry partners. Furthermore, the expertise within the DRS has attracted commercial partnerships with the NHS, local government, and businesses in finance, advertising, social housing, transportation and retail.
The DRS offers unrivalled exposure to commercial and research projects from different domains, allowing team members to acquire a diverse set of project experience in a relatively short amount of time.
The successful candidate for this role will join a high-performing team of experts in a nationally recognised facility to provide bespoke, project-based support to improve the quality of research at the University of Nottingham. We are looking for an individual that can perform in a high-paced environment and consistently deliver on multiple projects and deadlines in parallel. The ability to adapt approaches for technical solutions, as well as the dissemination and communication of results for each project to suit the particular needs of the research domain is also key for this role.
We are looking for a candidate with experience in Data Science, including advanced statistics, database systems, machine learning and basic understanding of software engineering agile methodologies. Knowledge of Python, R or Matlab is essential for the role.
This position is offered on a fixed term basis for 12 months. Hours are part-time (20 hours per week).
Informal enquiries may be addressed to Grazziela Figueredo, or email G.Figueredo@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.
Our University is a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages.
For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependants accompanying you to the UK. For more information please see the our webpage on Financial support for visas and the immigration health surcharge.
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