Data Scientist Engineer (Fixed term) Nottingham, England
Job description
Digital Research Service
The University of Nottingham’s Digital Research Service (DRS) is looking for a trained Data Scientist and 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. 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 ‘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 full-time post (36.25 hours) will be offered on a fixed term contract for a period of 24 months. Job share arrangements may be considered. This role is not available for 100% remote working, and the successful applicant would be expected to attend in person on campus at least 2 days per week.
Informal enquiries may be addressed to Grazziela Figueredo, email [email protected]. Please note that applications sent directly to this email address will not be accepted.
