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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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of vascular dysfunction and aging in the progression of chronic lung diseases. Planning, implementation, and analysis of advanced scientific research projects - Interprets data, statistical and data analysis
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to develop and apply novel computational methods for processing and analyzing these data that are both statistically rigorous and scalable to the volume of data being generated. In addition, semantic
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, maintaining record systems, and producing project reports for studies. In addition, may supervise clinical research staff or clinical data managers, perform complex statistical analysis, and work with
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Finance Coordinator (CRFC) responsible for coordinating and executing the financial billing of clinical trials. You are responsible for the calculation of statistical, fiscal, and metric data as it relates
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of statistical research will be given full consideration. We are particularly interested in candidates with collaborative research interests in study design and analyses of therapeutic and non-therapeutic
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
solutions. Situated in the Computational Biology Research Centre of HT, the Iorio Lab operates at the intersection of biology, machine learning, statistics, and information theory. Our goal is to comprehend
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, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data mining, statistical analysis, and computational modeling; Experience with programming
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. Experience in the analysis of single cell RNA-sequencing and spatial transcriptomics data is advantageous, and proficiency in statistical analysis tools such as R or Python is desirable. Interested candidates
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, databases, text). Conducts statistical analyses and visualize results. Extracts meaningful insights from complex data. Develops predictive models using supervised and unsupervised learning approaches