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diseases as part of the Washington University Undiagnosed Diseases Network and other WashU local rare disease projects. This role focuses on working with large genomic datasets to analyze data from whole
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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(SUNBIRD) to validate blood biomarkers for Alzheimer’s disease in a large clinic-based cohort. This position is a member of a multidisciplinary research team and performs a variety of research, data base
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tissue, new imaging modalities, small animal maintenance and surgeries, and single cell transcriptomics. They will also gain experience in bioinformatic analysis of sequencing and large-scale imaging
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Researchers (IHME Research Scientist 1) analyze and produce key estimates for their assigned research team and will assess all available quantitative data – including those on causes of death, epidemiology, and
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches
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., from IRB, funder, PI, and others). • Proactively identify and resolve instances of conflicting instructions, information, documentation, priorities, and/or project requirements. • In an ongoing manner
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Scheduled Hours 40 Position Summary Our research lab works on clinical outcomes research after cardiac surgery. This is done utilizing our own patient database, in addition to the large database