Institute of Health Informatics
Senior Research Fellow– Statistical Genetics, Genetic Epidemiology, Bioinformatics
The appointment will be full time and on UCL Grade 8. The salary range will be £43,884 – £51,769 per annum, inclusive of London Allowance.
We are seeking to expand our team of scientists working at the interface of phenomic information from electronic health record data and genomic information. Our team at UCL plays leading roles in Health Data Research UK (HDR UK), in multi-omic cohorts such as CORUM, UCLEB, in Biomedical Research Centre initiatives to embed genomic information in clinical care, and in international consortia.
Scientific problem This project is focused on understanding the contribution of lipids and their subtype to age-related macular degeneration. This will be through two approaches: first using electronic health records to understand population-based risk, and second through a genetic approach using Mendelian randomisation for routine lipids, as well as more novel techniques for lipid measures to understand causality. This project has been funded through an award to Dr Reecha Sofat from the Dunhill Medical Trust which is dedicated to investigating and understanding the mechanisms of ageing and treating age related diseases and frailty.
Using genetic information linked to longitudinal electronic health record phenotype information, the post-holder will be expected to plan and execute analyses and visualise and interpret the results for communication to clinical and scientific audiences. The post-holder will work across actionable rare variants, and (potentially) actionable information from polygenic risk scores. The precise focus will be developed, based on matching the scientific opportunity with the skills and experience of the post-holder.
You will have a PhD in statistical genetics, genetic epidemiology or bioinformatics; a relevant publication track record; and an interest in clinical applications. Experience in the analysis of genetic data, and the application of complex statistical models or statistical learning approaches would be advantageous. Experience of accessing, curating, analysing and interpreting electronic health record data from diverse sources is an advantage; however, for candidates without this expertise, in-post training will be available. The post-holder will be motivated and resourceful, an effective, independent worker, and a collaborative member of an international multidisciplinary team. We place a strong emphasis on supporting career development and on the potential for independence.
For further details about the vacancy and how to apply online please go to https://www.ucl.ac.uk/human-resources/working-ucl/jobs-ucl and search on Reference Number 1752900
Interested candidates are welcome to contact Dr Reecha Sofat ( email@example.com ) for an informal discussion. If you have any queries regarding the application process, please contact Daisy Kirkwood ( firstname.lastname@example.org ).
Closing Date: 13 December 2018
Latest time for the submission of applications: 23:59.
Interview Date: TBC
UCL Taking Action for Equality
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.