Digital Research Service
| Location: | University Park |
| Salary: | £33,966 to £45,585 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance. |
| Closing Date: | Tuesday 09 July 2024 |
| Reference: | DTS219624 |
The University of Nottingham’s Digital Research Service (DRS) is looking for a trained Data Scientist/Engineer with interest in working with Biological and Biomaterials data.
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. 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 ‘Designing bio-instructive materials for translation ready medical devices’ (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/X001156/1). The goal is to build a digital infrastructure and engineer common data models for the entire research team, as well as develop Machine Learning and other AI approaches to support biomaterials design and discovery from experimental data. Responsibilities will focus around collaborating with other members of the team to transform cohort datasets into a common data model for FAIR reuse and discovery, data management, processing and stewardship, and computational modelling. 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 post is offered on a fixed-term contract for a period of 12 months. Hours of work are full-time (36.25 hours); however, applications are also welcome from candidates wishing to work part-time (minimum 20 hours per week). Please specify in your application if you wish to work part-time and the number of preferred hours. Job share arrangements may be considered.
This role is hybrid, not 100% remote, and the candidate will be expected to work in the office minimum of 2 days per week.
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 Grazziela Figueredo, email g.figueredo@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.