About the Department
Job Summary
Responsibilities
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Leads the bioinformatics analysis of high-throughput biological data.
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Applies state-of-the-art computational biology and bioinformatics methods and tools to generate new or validate existing testable hypotheses from complex and large biological datasets.
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Leads the analysis of data resulting in a better understanding of human genetic variation and the association of medical information to uncover gene-disease links and new targets.
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Works effectively with the faculty, clinicians, researchers and experimentalists, to implement novel or adapt existing approaches to optimize upstream and downstream analysis and interpretation of biological data.
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Integrates diverse and heterogeneous datasets, to facilitate mining statistical analysis and visualizations leading to a better understanding of disease mechanisms, and the correlation between phenotype and genotype in different research projects.
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Instructs others in the selection and use of bioinformatics tools.
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Develops new software applications or the customization of existing applications to meet specific scientific project needs.
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Identifies suitable datasets and methods to answer particular research questions.
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Designs and performs formal evaluation of informatics methods and products.
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Performs data analyst functions that generate knowledge via data mining, visualization, or other analytics.
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Conducts validation and user acceptance testing.
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Creates novel computational approaches.
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Designs best research and development practice.
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Stays up to date on new advances and developments in bioinformatics and provide on-demand bioinformatics and statistics support to various teams.
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Develops training, tools, and process documentation.
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Develop programs to perform analyses and generate both routine and ad hoc reports.
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Guides with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
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Performs other related work as needed.