XClose

UCL Institute of Health Informatics

Home
Menu

Research Fellow: Medical Statistician (Vacancy ref: 1811288)

This post is within an exciting scientific network of collaborators using (EHR), together with genomics and other -omics to implement novel methods that enable the precision medicine agenda.

UCL Department /Division Institute of Health Informatics

Location of Position - London

Grade – 8

Hours – 1 FTE

Salary (incl. London allowance) £43,884 to £51,769 per annum

Contract type: The position is available immediately for 12 months in the first instance.

Closing Date: 19 July 2019 (h. 12:00 noon)

Interview Date: 24 July 2019

This post is within an exciting scientific network of collaborators using electronic health records (EHR), together with genomics and other -omics to implement novel methods that enable the precision medicine agenda. In particular the post-holder will concentrate in the use of various resources available at the Institute of Health Informatics to work the re-definition of disease phenotypes using either EHR in a data-driven manner or multi-omics. The post-holder will play a role in performing analyses within a UCL-GSK collaboration on the uses of EHR, genomics and other -omics to improve drug discovery and validation at GSK. This post-holder will also play a role in performing analyses for the British Women Health and Heart Study (BWHHS), using EHR and proteomic data. Our team at UCL plays leading roles in Health Data Research UK (HDR UK), in multi-omic cohorts such as UCLEB, in Biomedical Research Centre initiatives to embed genomic information in clinical care, and in international consortia.

Key requirements

You will have a PhD in Medical Statistics, Epidemiology, Genetic Epidemiology or similar with a keen interest in applications on complex statistical and computational models to the analysis of EHR data. You are comfortable in the development of statistical tools software tools (R, STATA), running applications in large computer clusters. Experience in the analysis of genetic data, statistical genetics methods, epidemiology and bioinformatics would be advantageous. Experience of accessing, curating, analysing and interpreting EHR 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.

Additional information

If you would like an informal discussion about this post, please contact Dr Dionisio Acosta at d.acosta@ucl.ac.uk.

If you have any queries regarding the vacancy or the application process, please contact IHI HR at ihi.hr@ucl.ac.uk.

Latest time for the submission of applications: 19 July 2019, h.12:00pm (noon)

Interview Date: 24 July 2019

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. For a job description and person specification, please refer to the attached document.

To apply, please visit: UCL jobs portal