Visit www.acad.jobs with all Jobs for Academics!
                    
Position: Research Fellow/Senior Research Fellow Statistical Genetics, Genetic Epidemiology, Bioinformatics or Data Science
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: The particular focus of this post is to generate new understanding of the genetic architecture of cardiac failure, including sub-types and progression phenotypes, through the analysis of large-scale genomic resources linked to EHR. The postholder will be expected to plan and execute analysis to progress understanding of the genetic architecture of heart failure. The postholder will work to discover new genes and pathways for cardiac failure using a range of approaches, including working across common and rare variation and testing for interaction between polygenic risk and variants implicated in Mendelian disease
Requirements: You will have a PhD in statistical genetics, genetic epidemiology or bioinformatics with a relevant publication track record. Experience in the analysis of sequence data and the application of complex statistical models would be advantageous
   
Text: Research Fellow/Senior Research Fellow ? Statistical Genetics, Genetic Epidemiology, Bioinformatics or Data Science, - Ref:1799766 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7: ?35,328-?42,701 or Grade 8: ?43,884-?51,769 per annum Duties and Responsibilities The particular focus of this post is to generate new understanding of the genetic architecture of cardiac failure, including sub-types and progression phenotypes, through the analysis of large-scale genomic resources linked to EHR. The postholder will be expected to plan and execute analysis to progress understanding of the genetic architecture of heart failure. The postholder will work to discover new genes and pathways for cardiac failure using a range of approaches, including working across common and rare variation and testing for interaction between polygenic risk and variants implicated in Mendelian disease. This post is funded through the Innovative Medicines Initiative Big Data@ Heart (https://www.bigdata-heart.eu/) and is available immediately until 31 October 2021 in the first instance and may be extended subject to funding. Key Requirements You will have a PhD in statistical genetics, genetic epidemiology or bioinformatics with a relevant publication track record. Experience in the analysis of sequence data and the application of complex statistical models would be advantageous. The postholder will be motivated and resourceful, an effective independent worker, and a collaborative team member. We place a strong emphasis on supporting career development and on the potential for independence. This post is funded through the Innovative Medicines Initiative Big Data@ Heart (https://www.bigdata-heart.eu/). Suitable candidates will be supported in applications for Fellowships. Further Details A job description and person specification can be accessed via the link at the bottom of this page. To apply for the vacancy please click on the "Apply Now" button below. Interested candidates are welcome to contact Dr Tom Lumbers (t.lumbers@ucl.ac.uk) for an informal discussion. If you have any queries regarding the application process, please contact IHI HR (ihi.hr@ucl.ac.uk). We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 6 May 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to 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. Job Description and Person Specification Apply Now
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.