Conduct in-depth analysis of diverse "omics" datasets, including next-generation sequencing data like RNA-seq, ChIP-seq, Proteomics, scRNA-seq, and other large-scale sequencing-derived datasets; Create high quality figures/visualizations for grant proposals, manuscripts, and presentations; Foster collaborative relationships with KUTC investigators to support both hypothesis testing and hypothesis generation; Ensure timely delivery of high-quality results by identifying and recommending the adoption of cutting-edge technologies and methodologies; Develop and implement advanced bioinformatic methodologies for the integration and interpretation of omics datasets, enhancing the center's bioinformatic analytical capabilities
Requirements:
PhD degree in bioinformatics, Computational Biology, or related scientific field; Experience in computational biology or bioinformatics; Experience with UNIX/LINUX, including proficiency in shell scripting; Proficiency in a scripting language, such as Perl, Python or R; Previous experience next generation sequencing data analysis highly desirable; Basic knowledge of core bioinformatics databases and tools, including programs for analysis of RNA-seq, Chip-seq, scRNA-seq, WES, and WGS
Text:
Bioinformatics Scientist - Computational Biology Conduct in-depth analysis of diverse "omics" datasets, including next-generation sequencing data like RNA-seq, ChIP-seq, Proteomics, scRNA-seq, and other large-scale sequencing-derived datasets; Create high quality figures/visualizations for grant proposals, manuscripts, and presentations; Foster collaborative relationships with KUTC investigators to support both hypothesis testing and hypothesis generation; Ensure timely delivery of high-quality results by identifying and recommending the adoption of cutting-edge technologies and methodologies; Develop and implement advanced bioinformatic methodologies for the integration and interpretation of omics datasets, enhancing the center's bioinformatic analytical capabilities PhD degree in bioinformatics, Computational Biology, or related scientific field; Experience in computational biology or bioinformatics; Experience with UNIX/LINUX, including proficiency in shell scripting; Proficiency in a scripting language, such as Perl, Python or R; Previous experience next generation sequencing data analysis highly desirable; Basic knowledge of core bioinformatics databases and tools, including programs for analysis of RNA-seq, Chip-seq, scRNA-seq, WES, and WGS
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