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Position: Research Fellow in Computational Genomics
Institution: University College London
Department: UCL Great Ormond Street Institute of Child Health
Location: London, United Kingdom
Duties: Undertake research under supervision within a specific research project and as a member of a research team. They will develop and plan an area of personal research and expertise as well as carry out analyses, critical evaluations, and interpretations of data and results using methods appropriate to the area of research
Requirements: Candidates should have a quantitative PhD in related genomic disciplines, including bioinformatics, computer science, statistics, molecular biology and applied mathematics; The ideal candidate will have experience in high-throughput genomics, a strong interest in spatial transcriptomics, and some experience in multiomics analyses. Previous work in translational medicine is a plus. Experience with large-scale genomic datasets and databases, next-generation sequencing, functional data, and programming are a plus; The successful candidate will have the opportunity to contribute to multiple cutting-edge projects in child health and will work cooperatively with other group members and collaborators; The successful candidate will also have the opportunity to contribute computational methods to UCL Genomics, the genomics UCL core facility and to the London North Genomic Laboratory Hub at the Great Ormond Street NHS Foundation Trust, which specialises in rare disease diagnosis and applying new technologies to prenatal diagnosis, including non-invasive prenatal diagnosis
   
Text: Research Fellow in Computational Genomics, - Ref:1858703 Click here to go back to search results Apply Now UCL Department / Division UCL Great Ormond Street Institute of Child Health Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 - £40,062 per annum Duties and Responsibilities Genomics has shown great potential in the diagnosis, treatment and general understanding of human rare diseases. This is because novel genomic technologies allow us to identify the genetic basis of disease and its molecular mechanisms. These technologies include short- and long-read sequencing, single-cell in many flavours (genome and exome sequencing, RNA-seq, CITE-seq, Chip-seq, ATAC-seq), spatial transcriptomics and 3D chromatin interactions (4-C and Hi-C). These technologies help diagnose patients that go otherwise undiagnosed as well as characterising in vitro (iPSC and organoid) and in vivo models of rare disease. We are using many of these techniques to diagnose rare diseases in newborns and children, ranging from developmental to metabolic diseases or cancer, while others need to be further developed, including applications in fetal life, to be put into clinical practice. Ultimately, we aim to translate these advances into the NHS and use the information these tools provide to individualise patient treatment. The data generated by these technologies, however, is large and complex and often combined with mass spec, imaging, patients medical records and other types of data to provide a multiomics and phenotypic view of rare disease. In order to gain diagnostic and treatment insights, quantitative analyses are required. Specifically, new algorithms, including machine learning ones, need to be designed and new software tools to be developed, especially for the technologies that have not yet reached the NHS. We are thus seeking to appoint a creative and highly motivated researcher with prime interest in computational genomics of rare disease. This is a unique opportunity to stand at the intersection of method development and its clinical application. The successful candidate will: Undertake research under supervision within a specific research project and as a member of a research team. They will develop and plan an area of personal research and expertise as well as carry out analyses, critical evaluations, and interpretations of data and results using methods appropriate to the area of research. This post is available for two years in the first instance. Key Requirements Candidates should have a quantitative PhD in related genomic disciplines, including bioinformatics, computer science, statistics, molecular biology and applied mathematics. The ideal candidate will have experience in high-throughput genomics, a strong interest in spatial transcriptomics, and some experience in multiomics analyses. Previous work in translational medicine is a plus. Experience with large-scale genomic datasets and databases, next-generation sequencing, functional data, and programming are a plus. The successful candidate will have the opportunity to contribute to multiple cutting-edge projects in child health and will work cooperatively with other group members and collaborators. The successful candidate will also have the opportunity to contribute computational methods to UCL Genomics, the genomics UCL core facility and to the London North Genomic Laboratory Hub at the Great Ormond Street NHS Foundation Trust, which specialises in rare disease diagnosis and applying new technologies to prenatal diagnosis, including non-invasive prenatal diagnosis. Further Details A job description and person specification can be accessed at the bottom of the page. To apply for the vacancy please click on the Apply Now button below. If you have any queries regarding the application process, please contact Madhur Sharma on ich.hr@ucl.ac.uk quoting job reference. UCL Taking Action for Equality Closing Date 23 Feb 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. Job Description and Person Specification Apply Now
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