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RNA sequencing (scRNA-seq) data analysis. Previous hands-on experience with cell culture techniques. Experience designing and conducting independent scientific research. Strong analytical, problem
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, and/or surgical procedures. Data analysis and quantitative methods using R, Python, MATLAB, or similar platforms. Miniscope imaging acquisition and analysis. Ex vivo imaging of nervous system tissues
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Health Sciences. The position will be focused primarily on implementation science projects, data analysis (quantitative and qualitative), and project management tasks. The main research focus will be
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related fields.MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics data
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(including doctoral research) in an analytical chemistry laboratory. The ideal candidate will have strong skills in mass spectrometry (coupled with HPLC), data analysis, ability to handle multiple priorities
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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include flow cytometry, tissue histology, molecular and cellular assays, analysis of muscle degeneration and regeneration, and integration of single-cell/genomic data to define therapeutic mechanisms. Min
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and analyzing multidimensional data sets Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data Desire to conduct team-based science in close
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opportunities to contribute to data analysis, manuscripts, presentations at local and national conferences, and grant applications, all of which are built in and expected to grow over time. Be You. Key
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molecular profiling platforms. Experience with data analysis software such as GraphPad Prism, R, Python, or similar platforms. Other Requirements: This position is onsite. The work is performed on-site