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Position: Research Fellow
Institution: University College London
Department: Research Department of Genetics, Evolution & Environment/Division of Biosciences - The project is a collaboration between UCL, Rothamsted Research and the University of Cambridge
Location: London, United Kingdom
Duties: The fundamental question we wish to answer is what controls protein abundance in plants, how this control differs from that of gene expression, and under what circumstances is variation in protein abundance a more relevant driver of phenotype. To this end, the project will resequence the genomes of a large Arabidopsis population (including both long-read and short read data), and then measure the epigenomes (DNA methylation and open chromatin), transcriptomes and proteomes in the same individuals. Your role will be to interpret the data and answer these questions
Requirements: The successful candidate must have: (i) A PhD (or be studying towards it) in a relevant subject area: e.g. statistical genetics, bioinformatics, population genetics, statistics, computer science. Ideally the candidate will have experience with bioinformatics and quantitative genetics including genome assembly, gene expression analysis, quantitative genetics and functional genomics; (ii) IT proficiency at advanced user level, including experience with statistical programming in R and other languages such as Python/Perl/C/C, and a theoretical understanding of bioinformatics/quantitative/population genetics are also among Essential criteria; (iii) Ability to work in a team and to manage complex projects is important
   
Text: Research Fellow, - Ref:1862400 Click here to go back to search results Apply Now UCL Department / Division Research Department of Genetics, Evolution & Environment/Division of Biosciences Specific unit / Sub department The project is a collaboration between UCL, Rothamsted Research and the University of Cambridge Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 - £43,470 per annum Duties and Responsibilities The post is within the UCL Genetics Institute, Department of Genetics, Evolution and Environment, located in the Darwin Building on Gower Street, London. It will be supervised by Prof Richard Mott in the UCL Genetics Institute. We are seeking an exceptionally talented post-doctoral researcher to join our group in the UCL Genetics Institute. The post is a key part of major 5-year BBSRC programme BB/T002182/1 to understand the relative impacts of genetic, sequence, epigenetic, transcriptomic and proteomic variation on phenotype in the plant Arabidopsis thaliana. The project is a collaboration between UCL, Rothamsted Research and the University of Cambridge. The fundamental question we wish to answer is what controls protein abundance in plants, how this control differs from that of gene expression, and under what circumstances is variation in protein abundance a more relevant driver of phenotype. To this end, the project will resequence the genomes of a large Arabidopsis population (including both long-read and short read data), and then measure the epigenomes (DNA methylation and open chromatin), transcriptomes and proteomes in the same individuals. Your role will be to interpret the data and answer these questions. You are ambitious, talented and able to take ownership of and complete a project, and to come up with novel solutions to novel problems. The project may well require the development of statistical and computational methods. Since this complex programme is extensively collaborative, the ability to work in a team, and to agree on goals and meet deadlines is also essential. You will work closely with scientists at Rothamsted on gene network analysis and with Cambridge on proteomic data. Your role does not require experimental expertise as other scientists in the programme will perform the experiments, but you will be expected to help project-manage DNA and RNA sequencing. You will be expert in bioinformatics, quantitative genetics, and in the analysis of different types of sequence data, with a proven track-record from publications. Strong computing skills in R, C/C , Perl/Python, shell etc are essential. Experience with pan-genome analysis and protein abundance analysis would be desirable, but as it is unlikely any one individual will have skills in all required areas, we will provide training where necessary. The post is for three years in the first instance with the possibility of extension. You will join a young dynamic group of researchers focused on complex trait analysis in plants and animals, embedded within the UCL Genetics Institute, which is part of the Research Department of Genetics, Evolution and Environment in UCL Division of Biosciences. We have plentiful resources for high performance computing. There are also opportunities for collaboration, and career development in teaching and research. Key Requirements The successful candidate must have: (i) A PhD (or be studying towards it) in a relevant subject area: e.g. statistical genetics, bioinformatics, population genetics, statistics, computer science. Ideally the candidate will have experience with bioinformatics and quantitative genetics including genome assembly, gene expression analysis, quantitative genetics and functional genomics. (ii) IT proficiency at advanced user level, including experience with statistical programming in R and other languages such as Python/Perl/C/C , and a theoretical understanding of bioinformatics/quantitative/population genetics are also among Essential criteria. (iii) Ability to work in a team and to manage complex projects is important. 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 £31,479 - £33,194 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. The Genetics, Evolution and Environment Research Department brings together scientists with shared interests in ageing, evolutionary, population and environmental biology, genetics, systems biology, theoretical biology and human genetics and evolution. There are currently nearly 50 members of academic staff, 70 postdoctoral researchers and 80 graduate students in the Department. GEE has recently moved into new laboratories in a £5.5 million refurbishment of the Darwin Building on Gower Street in the heart of the Bloomsbury campus. The UCL Genetics Institute is a world-leading research group with an emphasis on the development and application of statistical methodologies. It is embedded with GEE. The focus of the research within the Mott group is understand the genetic architecture of complex traits in humans, animals and plants. Further Details Full details on the role and the person specification can be accessed at the bottom of this page. Please ensure you read these carefully before applying for the post as candidates must meet all essential criteria to be considered. To apply for the vacancy please click on the Apply Now button. If you would like to discuss the post please contact Professor Richard Mott, r.mott@ucl.ac.uk . If you have any queries regarding the application process please contact Biosciences staffing on biosciences.staffing@ucl.ac.uk quoting the vacancy reference number: 1862400. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 5 Apr 2020 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 & Person Specification Apply Now
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