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degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
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orbitrap high resolution mass spectrometry. Other duties will depend on the Scholar’s prior experience but may include sample analyses, data analysis, or supervising and mentoring students. Work Performed
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. Integrate clinical, electrophysiological, and sleep-related datasets to generate meaningful research insights. Data Analysis & Interpretation Analyze complex neurophysiological data derived from SEEG
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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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, databases, front-end interfaces, and other computing tools for tracking, moving, distribution, sharing, integration, and analysis of a variety of multi-omic, phenotypic, clinical and experimental data
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responses in various cell lines in support of pre-clinical and clinical HIV-1 and COVID-19 vaccine development. Data analysis with adherence to quality control pass/fail criteria. Report results in
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. • Collaboration with the PhDs at the laboratory, division, department, and University. Development of data-sharing agreements and investigator initiatives with sponsor collaboration. • Independently work on basic
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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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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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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies