The appointment will be on UCL Grade 8.
This new post will be primarily focused on improving and expanding risk prediction models for people with T2DM, by sourcing novel data modalities, and new statistical and machine learning methods that account for patient disease trajectories. The applicant will have access to curated longitudinal electronic health records that allow for detailed explorations of changes in patients’ health as they progress through various disease states. Prediction models for CVD will be improved by considering the potential relevance of including information from genomics, metabolomics and images of heart, abdomen, and brain.
This post is funded until 30 September 2025 in the first instance.
This post will suit someone with a background in health informatics, data science, epidemiology or biostatistics. have a PhD or equivalent experience. We are looking for evidence of research experience and conducting quantitative analysis, and the appointee will already have experience of analyzing electronic healthcare datasets, or related large sample size data such as genomics.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
If you have any queries regarding the vacancy or the application process, please contact Jane Johnson, email@example.com (020 7670 5700)
Latest time for the submission of applications: 23:59.
UCL Taking Action for Equality
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.