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methods and results for manuscripts, presentations, and grant applications. Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines
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) to manipulate datasets and perform rigorous statistical testing and data exploration. Communicate the results with reports and presentations to collaborators and assist in writing up methods and results
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and statistical tools (e.g., JMP). Knowledge of analytical methods to characterize processes including cell-based assays, flow cytometry, and proteomic/genomic methods. Familiarity with retroviral and
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Li, operates at the intersection of statistics and biology to drive cutting-edge biomedical research. The JSB Lab focuses on developing statistical and computational methods motivated by important
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principles and statistical methods to identify target populations, trends and risk factors. Conducts on-going surveillance of infection data. Investigates infection occurrences through review of patient
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, and delivery of informal teaching sessions and formal lectures to providers and the general medical community. Faculty are expected to perform their primary activities on-site at Fred Hutch. Fred
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, neurobiology, and microbiology tools. The position will help the trainee increase their understanding of the scientific method by developing practical lab skills and how to evaluate scientific articles
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collection. Develop software to assist in the analysis of data within the databases. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: PhD in relevant area (e.g., bioinformatics, cheminformatics
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of translation and other RNA metabolic processes in human cells (Nugent et al. Nature Methods 2025). The Research Tech will be responsible for performing bench-level experiments, mammalian cell culture, high
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computational tools and methods for analysis of high throughput single-cell genomics data. We work in extensive collaborative partnerships with bench scientists to tackle questions related to cellular