11 bioinformatics "University of California San Francisco" positions at University of Texas MD Anderson Cancer Center
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analysis - Help maintain, support, and document shared tools, code base, and data sets, with opportunities to explore deeper and more complex software design problems, or bioinformatic and analytic aspects
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in writing of scientific papers for publication, grant applications and presentations at scientific meetings. · Performs general bioinformatics analysis and provides software support for projects
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requires physical presence at the workplace for three or more days per week. This is not a remote position. The main role of the Assistant Data Scientist is to offer bioinformatic assistance for ongoing
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of the analyses including original data, with conclusions. Assists in gathering information for in depth medical knowledge of GI cancer biology, human immunology, molecular biology and bioinformatics for diverse
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The ideal candidate will have experience in genomic data bioinformatics pipelines and precision oncology. In collaboration with the MDACC molecular diagnostics laboratory (MDL) leadership, provide a
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control of biological data, including scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities, * Develop and maintain pipelines for bioinformatics and statistical
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genomic data will be collected and integrated to create datasets that will be utilized to drive translational research and ultimately improve patient outcome. JOB SPECIFIC COMPETENCIES Bioinformatics and
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research methods. Instruct and provide guidance to other staff in basic computational research techniques and procedures. Provide advanced bioinformatic, statistical and visualization support to ongoing
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of the analyses including original data, with conclusions. Assists in gathering information for in depth medical knowledge of GI cancer biology, human immunology, molecular biology and bioinformatics for diverse
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therapeutic potential of drug targets and drive therapeutic development programs. 4. Work with research and bioinformatics teams to utilize internal biological and oncogenomic data sets to generate and test