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Applications are invited for a Senior Statistical Geneticist to join the Genomics and Bioinformatics Core (GBC) within the Institute of Metabolic Science - Metabolic Research Laboratories
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(SDMA) team provides a portfolio of data, reporting and statistical services for the University of Oxford. In addition to maintaining and facilitating access to reporting datasets on Oxford students and
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statistics, biostatistics, or health data sciences together with an MSc in Public Health, Epidemiology, Statistics, Medical Statistics, Biostatistics, or a related field. Demonstrable advanced skills and
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
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experience in project management involving data management, health data science, medical statistics, epidemiology, or a related discipline. We would also welcome applications from people with advanced data
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
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physiological samples; preparing samples for analysis and carrying out DNA sequence analysis; collating, organising, and statistically and computationally analysing data with assistance and advice from
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with neuroimaging software packages (e.g., SPM12, Freesurfer, FSL), multimodal data integration, and familiarity with optimised pipelines for longitudinal data preprocessing and statistical analyses (e.g
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computational background and significant (>5 years) experience of using bioinformatics and statistical approaches to analyse and interpret whole transcriptome data generated from RNA sequencing and integrate
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design, conduct, analyse and publish clinical trials and other well-designed studies led by UCL Chief Investigators. The CCTU provides clinical, statistical and trial operations and facilitates