Applications are invited for a research fellow with specific knowledge engineering and data modelling skills to work on a collaborative project between the Trinity Health Kidney Centre (www.thkc.ie), the School of Computer Science and Statistics (https://www.scss.tcd.ie/) and the ADAPT research centre (www.adaptcentre.ie). This highly innovative project seeks to improve healthcare in the field of autoimmune disease by linking medical, statistical and healthcare information. The post-holder will be experienced in curation of unstructured data and use of resource description framework (RDF) modelling.
Background to the Post
The successful candidate will work with Professors Mark Little (www.tcd.ie/medicine/thkc/research/chronic.php), Declan O’Sullivan (https://www.tcd.ie/research/profiles/?profile=osulldps) and Lucy Hederman (https://www.scss.tcd.ie/Lucy.Hederman/). The project builds on prior work in the AVERT programme (https://www.tcd.ie/medicine/thkc/avert/) with the primary objective of building and maintaining a semantic web-based health research data integration engine. The proposed project leverages an extensive rare disease registry and biobank (www.tcd.ie/medicine/thkc/research/rare.php) to generate a longitudinal granular phenotype which we aim to link to biomarker, environmental and wearable device data streams.
Standard duties and responsibilities
The Research Fellow will:
Knowledge & Experience
Candidates should submit a cover letter together with a full curriculum vitae to include the names and contact details of 3 referees (email addresses if possible) via the following link:
TRINITY COLLEGE DUBLIN, THE UNIVERSITY OF DUBLIN IS AN EQUAL OPPORTUNITIES EMPLOYER