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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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the interview process. You will have a PhD in bioinformatics, or equivalent skills and experience, an understanding of human genetics, and knowledge of DNA and RNA sequencing analysis. Knowledge of bioinformatics
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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systems, their implementations and data analysis methodologies. Practical experience of deploying IP cores on FPGA systems is essential. A track record of publications in leading journals / conferences is
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Investigator (PI) to develop the research design, data collection, data analysis, and dissemination and publication of the project’s research. The two Fellows will each be focused on distinct parts
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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responsible for programme management, overseeing project delivery. Third they will contribute to the data collection, analysis and dissemination of mixed methods research activities within the study. Starting
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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers