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                supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard 
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                application) Candidates must have an MD or equivalent, MD/PhD, or PhD or equivalent in microbiology, molecular biology, bioinformatics, or other related disciplines. Preferred qualifications Candidates with 4 
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                development and maintenance of bioinformatics software (e.g., Cytoscape, NDEx and Cytoscape Cyberinfrastucture) and novel biological visualizations. Evaluates state-of-the-art technologies for suitability in 
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                mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied 
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                . Under the general supervision of the Program Director, the incumbent is responsible for providing programmatic and academic advising to prospective and continuing students in the Bioinformatics and 
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                bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open 
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                , the incumbent will conduct bioinformatics, statistical, and computational analyses to support laboratory research, with a primary focus on multi-omic data in cancer research. This includes the development and 
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                clinical residency. We conduct research and instruction in public health disciplines such as Biostatistics and Bioinformatics, Climate & Environmental Health, Community Health Services & Preventive Medicine 
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                operations of cyberinfrastructure. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC 
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                , bioinformatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health