Digital Research Service

The University of Nottingham’s Digital Research Service (DRS) is looking for a Senior Research Software Engineer to lead the development of scientific cardiac electrophysiology simulation software. The 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 30 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. Our research engagement spans 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 CO-CONNECT. Over the course of the academic year 2020/2021, the DRS team have successfully completed over 70 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, the 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 spend their time working on an EPSRC project ‘in collaboration with Prof. Gary Mirams’ Wellcome Trust Senior Research Fellowship and his team in the School of Mathematical Science. The role holder will also act as a senior analyst within the DRS and should have a significant amount of experience and insight within the data analytics domain. Responsibilities will focus around Lead development of software packages within the School of Mathematical Science that are of a complex nature and require extensive domain-specific knowledge. These include (amongst others) taking leadership in the development of chaste_cg and chaste_cellml, both are significant extensions of the Chaste (Cancer Heart And Soft Tissue Environment) mathematical-modelling tool. The candidate will also be expected to engage with project partners both nationally and internationally and produce publications; thus, we are looking for an individual with excellent written and verbal communication skills. 

This full-time post (36.25 hours) will be offered on a fixed-term contract for a period of 16 months. Job share arrangements may be considered.

Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.

Informal enquiries may be addressed to Tom Giles, tom.giles@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.