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software engineering with hands-on data science, with control over both the product and the analysis of large-scale clinical and genomic datasets. You will build intuitive user interfaces, design scalable
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and phenotypes through bioinformatics, data science, genomics, spatial biology, and drug development are encouraged to apply. Responsibilities The research projects and responsibilities for this Staff
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Science at Fred Hutch Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential
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data quality, and guide users through the analysis process. Strong programming skills and experience developing reproducible workflows are essential for managing the complex, large-scale datasets
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understanding of cancer biology to our computational team. Candidates who are excited about supporting success in multi-disciplinary large/complex 'omics' cancer genomics and liquid biopsy research projects
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The EH&S Department Coordinator II uses independent judgment and discretion in representing large
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-based workflows and scalable pipelines for large-scale genomic data processing. Innovate and evaluate new metrics for ctDNA quantification (e.g., methylation-based signals, fragmentation, gene expression
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will be responsible for self-directing large, complex projects from initiation to completion. The role will be responsible for defining project scope, resources, and stakeholders, identifying technical
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clinicians across Fred Hutch. Preferred: Experience in both solid organ and hematopoietic cell transplant programs. Experience using HLA specific LIMS. Experience in executing big data analysis. The annual
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questions in biomedical sciences and abundant information in big genomic and health related data. On the statistical methodology side, our example interests include association measures, high-dimensional