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support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and integration with clinical
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 15 hours ago
) analysis and develop bioinformatic skills to analyze large sequence data sets. You will understand the complexities and application of NGS to inform on viral diversity and vaccine development. The acquired
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complex diseases. She has received several awards for her work in transethnic studies including the ASHG/Charles J. Epstein Trainee Award for Excellence in Human Genetics Research (Semi-finalist) and the
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/career award applications. Responsibilities* Conduct a laboratory project of one's own: Develop and manage experiments, including determining suitable methods. Interpret and perform complex data analysis
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staff and is responsible for the development and execution of major research projects and performs state-of-the-art, complex research projects in collaboration with the other researchers, making
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bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale
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, you’ll collaborate on diverse projects focussed on injury prevention and safety science, applying behavioural science methodologies to solve complex problems. From conducting literature reviews and
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involving human subjects. PREFERRED QUALIFICATIONS Expertise in molecular science. Experience with longitudinal data analysis and complex survey design. Knowledge of cardiovascular and kidney diseases and
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, and the African Medicines Agency, the programme brings together regulatory science, policy analysis, and capacity strengthening across multiple workstreams. This Senior Research Fellow will lead the
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established and emerging methodologies to advance the research agenda. Conduct and Analyze Research: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing