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Position: Research Fellow in Statistical Systems Biology
Institution: University College London
Department: Division of Biosciences - Research Department of Cell and Developmental Biology
Location: London, United Kingdom
Duties: A Research Fellow position is available in the group of Prof Chris Barnes at UCL to develop statistical tools for the inference of dynamical models from next generation sequencing data. This is in the context of cancer evolution, microbial systems biology and microbiome engineering. The successful individual will become an active member of both the Computational Systems and Synthetic Biology group and UCL Genetics Institute, and contribute to the development of cutting-edge computational research in life-sciences. In addition to designing and conducting the research, the successful candidates will write and communicate results as scientific papers and in scientific presentations at national and international conferences
Requirements: A PhD (or about to submit) in systems of quantitative biology and an undergraduate degree in the physical sciences, mathematics, statistics, engineering or another quantitative discipline are essential. Experience in developing statistical inference algorithms is essential, as is experience in analyzing large datasets using compute clusters/cloud computing. Computational statistics skills (eg Bayesian approaches, machine learning) are essential, as well as mathematical modelling skills (ODEs and stochastic processes) and computer programming skills (including low level languages such as C/C)
   
Text: Research Fellow in Statistical Systems Biology, - Ref:1834831 Click here to go back to search results Apply Now UCL Department / Division Division of Biosciences Specific unit / Sub department Research Department of Cell and Developmental Biology Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 - £43,470 per annum Duties and Responsibilities A Research Fellow position is available in the group of Prof Chris Barnes at UCL to develop statistical tools for the inference of dynamical models from next generation sequencing data. This is in the context of cancer evolution, microbial systems biology and microbiome engineering. The successful individual will become an active member of both the Computational Systems and Synthetic Biology group and UCL Genetics Institute, and contribute to the development of cutting-edge computational research in life-sciences. In addition to designing and conducting the research, the successful candidates will write and communicate results as scientific papers and in scientific presentations at national and international conferences. The post is available from now until 31 December 2021 in the first instance with possibility of extension. Key Requirements A PhD (or about to submit) in systems of quantitative biology and an undergraduate degree in the physical sciences, mathematics, statistics, engineering or another quantitative discipline are essential. Experience in developing statistical inference algorithms is essential, as is experience in analyzing large datasets using compute clusters/cloud computing. Computational statistics skills (eg Bayesian approaches, machine learning) are essential, as well as mathematical modelling skills (ODEs and stochastic processes) and computer programming skills (including low level languages such as C/C ). Please note: Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not yet 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 (including corrections). 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 Prof Chris Barnes on christopher.barnes@ucl.ac.uk For any queries regarding the application process, please contact Biosciences Staffing on biosciences.staffing@ucl.ac.uk and quote the reference 1834831. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 31 Jan 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 Apply Now
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