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Position: Research Fellow in Bioinformatics
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: The Institute of Health Informatics (IHI) was established in August 2014 as part of the Faculty of Population Health Sciences (FPHS) within the UCL School of Life and; The Institute of Health Informatics is seeking a recent PhD graduate in bioinformatics, machine learning, computational biology, computer science or a related discipline to join our team focusing on the interface of phenomic information from electronic health record data and genomic information. You will develop and utilise algorithms and software for conducting virtual gene editing experiments and pharmacologic interventions on individuals informed by their biological features derived from population-based studies. The project is supported by excellent computing infrastructure provided by UCLs high-performance computing cluster (Myriad)
Requirements: You will have recently completed a PhD as well as strong programming skills, be comfortable manipulating large-scale data, and have some prior experience in building bioinformatics pipelines. You will be 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
   
Text: Research Fellow in Bioinformatics, - Ref:1878014 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,770 - £44,388 per annum Duties and Responsibilities The Institute of Health Informatics (IHI) was established in August 2014 as part of the Faculty of Population Health Sciences (FPHS) within the UCL School of Life and The Institute of Health Informatics is seeking a recent PhD graduate in bioinformatics, machine learning, computational biology, computer science or a related discipline to join our team focusing on the interface of phenomic information from electronic health record data and genomic information. You will develop and utilise algorithms and software for conducting virtual gene editing experiments and pharmacologic interventions on individuals informed by their biological features derived from population-based studies. The project is supported by excellent computing infrastructure provided by UCLs high-performance computing cluster (Myriad). The post is funded for 1 year in the first instance. Key Requirements You will have recently completed a PhD as well as strong programming skills, be comfortable manipulating large-scale data, and have some prior experience in building bioinformatics pipelines. You will be 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. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £32,217 - £33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. 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. For an informal discussion please contact Professor Folkert Asselbergs(f.asselbergs@ucl.ac.uk). For any queries regarding this advert or recruitment process please contact Anita Gorasia (a.gorasia@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 7 Dec 2021 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
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