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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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to document analytic activities and summarizing results and participates in the development and the testing of efficient protocols for the collection, verification, management, and analysis of large amounts
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts
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for interacting with colleagues and stakeholders. Department Specifics: Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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to obtain additional information and suggests revisions in treatment. Participates in quality and safety improvement activities. Orients, instructs, and directs work activities for assistants and support
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, bulk and single-cell RNAseq data analysis, GWAS, PheWAS, and MeWAS (optional). Data Management (Expert): Proficient in handling large-scale, high-dimensional datasets, including omics and electronic
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and analyzing large-scale national datasets (e.g., All of Us, CMS), preparing data for NIH- and federally funded studies, and applying advanced statistical and machine learning techniques to informatics
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develop end products Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff. Requests or acquires equipment and supplies for assigned project(s
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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Develop/use various machine learning and data mining models including convolutional neural networks (CNNs) Transformers, large language models (LLMs), and Vision Language Models (VLMs) Analyze electronics