90 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" uni jobs at Fred Hutchinson Cancer Center
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demonstrated by successful applications for external funding. Extensive experience in immune repertoire data analysis, bioinformatics algorithms and software development. Deep understanding of molecular biology
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analysis and algorithm implementation for high-throughput sequencing data. Act as a liaison between end-users, software developers, system designers and different departments. Oversee quality check for high
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immunity and apply this knowledge toward developing novel approaches for the study and treatment of cancer. We are searching for an analyst with an interest in developing pipelines for quality control and
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immunity and apply this knowledge toward developing novel approaches for the study and treatment of cancer. We are searching for an analyst with an interest in developing pipelines for quality control and
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, troubleshooting problems, and helping prepare manuscripts. Primary experimental research and computational analysis, including algorithm development, will be integrated throughout the program. Managing
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computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary
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addition to these core objectives, we will include analysis of valuable and clinically relevant sample sets such as HCT patients experiencing GVH, and aplastic anemia subjects. In this position, the incumbent will develop
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negotiate comprehensive budgets for industry-sponsored, investigator initiated and grant funded trials. Prepare, submit, and manage study startup documentation across multiple platforms, including the OnCore
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accordance with regulatory, GCP guidelines and institutional policy. Assist the Principal Investigator (PI) with protocol development, revision, and study analysis. Protocol Implementation Develop and maintain
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cardiovascular disease, cancer and osteoporosis - the most frequent causes of death, disability and poor quality of life in postmenopausal women. It is one of the largest U.S. prevention studies of its kind and it