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Position: Research Fellow in Genetic Epidemiology
Institution: University College London
Department: Institute of Cardiovascular Science - Population Science and Experimental Medicine
Location: London, United Kingdom
Duties: The appointee will join a high profile programme of work at UCL funded jointly by the British Heart Foundation and the National Institute of Health Research UCL Hospitals Biomedical Research Centre. The Research Fellow will apply statistical and bio-informatic expertise to explore genetic epidemiology analyses in a variety of rich large- scale datasets. Specifically the work will focus on associations between genetic variants and clinical variables and risk of subsequent cardiovascular events/death among people with known coronary heart disease. This will include Genome-Wide Association and development and evaluation of polygenic risk scores. The primary resource for these analyses will be the GENIUS-CHD Consortium, a global large scale effort including over 60 cohorts contributing ~250, 000 recruited patients and in collaboration with Prof Folkert Asselbergs (UCL/Utrecht). In addition, there will be opportunities to work with other large datasets such as UK Biobank
Requirements: We expect the appointee to have a PhD degree or equivalent research experience, and to have a strong record of research in these fields. We are willing to consider applications from exceptional individuals who have only recently obtained or are close to obtaining their PhD degree, provided they can demonstrate the requisite skills. The post would suit someone whose background is in genetic epidemiology, statistical genetics, or bioinformatics, with a good grounding in epidemiological research. Fluency with the R statistical package and/or Python or similar advanced languages is considered essential. Any additional Experience in cardiovascular medicine, machine learning or computational biology would be desirable but not essential
   
Text: Research Fellow in Genetic Epidemiology, - Ref:1868318 Click here to go back to search results Apply Now UCL Department / Division Institute of Cardiovascular Science Specific unit / Sub department Population Science and Experimental Medicine Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 - £41,165 per annum Duties and Responsibilities The appointee will join a high profile programme of work at UCL funded jointly by the British Heart Foundation and the National Institute of Health Research UCL Hospitals Biomedical Research Centre. The Research Fellow will apply statistical and bio-informatic expertise to explore genetic epidemiology analyses in a variety of rich large- scale datasets. Specifically the work will focus on associations between genetic variants and clinical variables and risk of subsequent cardiovascular events/death among people with known coronary heart disease. This will include Genome-Wide Association and development and evaluation of polygenic risk scores. The primary resource for these analyses will be the GENIUS-CHD Consortium (www.genius-chd.org), a global large scale effort including over 60 cohorts contributing ~250,000 recruited patients and in collaboration with Prof Folkert Asselbergs (UCL/Utrecht). In addition, there will be opportunities to work with other large datasets such as UK Biobank. The post is based at UCL or remotely, but the work will involve close collaboration with Professor Asselbergs' team in Utrecht, which serves as the second analysis site for GENIUS_CHD. Short placements in Utrecht may also be possible when the situation permits. Given the COVID19 changes to working patterns and the data driven nature of this work, remote working will be encouraged. As such, applications from non UK resident candidates will be considered. The London Weighting element of the salary will not be payable in that circumstance. The appointment is funded until 31 March 2022 in the first instance. Key Requirements The post would suit someone whose background is in genetic epidemiology, statistical genetics, or bioinformatics, with a good grounding in epidemiological research Fluency with the R statistical package and/or Python or similar advanced languages is considered essential. Any additional Experience in cardiovascular medicine, machine learning or computational biology would be desirable but not essential. We expect the appointee to have a PhD degree or equivalent research experience, and to have a strong record of research in these fields. We are willing to consider applications from exceptional individuals who have only recently obtained or are close to obtaining their PhD degree, provided they can demonstrate the requisite skills. If a PhD is not yet awarded, appointment will be at Research Assistant grade 6B £31,479 - £33,194 per annum, with payment at grade 7 backdated to the date of submission of the final PhD thesis. We place a strong emphasis on potential for independence and on supporting career development. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the 'Apply Now' button below. If you have any queries regarding the vacancy please contact Dr Riyaz Patel (riyaz.patel @ucl.ac.uk). For queries on the application process, please contact elaine.mcdonald@ucl.ac.uk. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 29 Jul 2020 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Supplementary Information Job Description Apply Now
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