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biology and cell biology techniques such as nucleic acid extraction and manipulation, PCR, RT-PCR, Western blot analysis, immunostaining, cell culture, cell transfections, cell sorting. Performs genomic
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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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Experience: Strong background in computational modeling, cancer genomics, and high-throughput data analysis. Communication Skills: Excellent written and verbal communication skills for effective collaboration
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national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results. Collects pilot data to help support new
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schedules. Presents research findings at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports
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immunofluorescence. Familiarity with rodent models of diabetes, data analysis, and interpretation of complex biological datasets is essential. The candidate should demonstrate the ability to work independently
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schedules. Presents research findings at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports
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populations impacted by substance use/substance use disorders, HCV, HIV, and homelessness Proficiency in statistical software (e.g., R, SAS, STATA) and/or qualitative analysis tools (e.g., NVivo, Dedoose
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. Presents research findings at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk