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Field
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collaborate closely with experts in genetics, genomics, and bioinformatics as part of a multidisciplinary research team. The successful candidate will be expected to work independently and collaboratively
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be highly encouraged and supported. Minimum Education and/or Training: Requires a PhD degree in biomedical research and bioinformatics data analysis training Special Skills, Knowledge, and Abilities
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must have a doctoral degree in a relevant field which may include but is not limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology
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. The successful candidate will integrate multi-omic and immunological approaches, such as single-cell transcriptomics, proteomics, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R
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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience
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high performance computing (HPC) cluster and assist with establishing protocols to use SpliceAI and other Bioinformatics tools; determine whether Varseq runs better in HPC. WGS sample processing - set up
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, including extensive bioinformatics analysis. Data is collected, recorded and organized using standard methodology. Position is a full-time position located within the Department of Microbiology working 40
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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic
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of biochemical, biophysical, molecular, cellular, and bioinformatics approaches. Collaboration with structural biologists is possible. Postdoctoral scholars at the University of Kansas Medical Center
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required