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Field
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prototype software and visualizations to enable the application of new or existing data processing algorithms to various types and sources of data Prepare presentations, publications, and reports
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models of cancer, optical microscopy and spectroscopy, and image analysis in the Department of Biomedical Engineering. The SRA will oversee and manage the work of graduate students and undergraduate
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experience in basic data management and analysis, population health principles, and literature reviews. The role offers opportunities to develop skills in data curation, study design, project management, and
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cloning. Proven expertise in transcriptome analysis, protein interaction studies, and functional genomics approaches. Experience working across multiple biological systems, including cell lines and insects
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animals, promoting biological sustainability and the preservation of valuable genetic resources, d) In addition to laboratory tasks, the researcher will be responsible for the systematic recording, analysis
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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for cell line characterisation, including imaging, genome sequencing, proteomic analysis, and co-ordination of bioinformatics. In addition, you will be required to participate in supervising trainees in
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capacity-building training to investigators and their staff on qualitative interviewing and analysis. QualCore team members use a flexible approach to accommodate the dynamic nature of qualitative data
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Qualifications: Demonstrated expertise in multi-omics bioinformatics analysis (e.g., genomics, transcriptomics, epigenomics, metagenomics) and development of scalable computational workflows for biomedical
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(e.g. interviews, focus groups, content and discourse analysis) and quantitative data (e.g. surveys, travel behavior datasets); write academic publications and research reports; present research findings