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of the CMOCO laboratory to develop high-fidelity bioinformatics and data basing approaches to clinical next-generation sequencing data, including the development of comprehensive analysis software, development
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treatments for sarcomas, cancers of bone and soft tissue. The Wilky laboratory operates in collaboration with the established and highly accomplished cancer immunology laboratory led by Eduardo Davila, PhD
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managing research data base for data analysis. The incumbent may perform a broad array of laboratory assays and techniques in the Coagulation Research Laboratory including ELISA, Chromogenic and Clotting
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, coding, ground theory methodology for the analysis of certain data, and quantum state analyses. This position requires familiarity and experience with clinical or epidemiological research, preferably in
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others. Test specific hypotheses about differences observed across different pediatric cancer subtypes using basic statistics. Present at monthly data analysis workstream meetings with a larger group of
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%) maintenance of the mouse colony (including genotyping); (5%) assistance in in vivo body composition analysis and in vivo and ex vivo assessment of skeletal muscle function; (10%) sample processing
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to provide novel research outcomes. This position reports directly to Beth Tamburini, PhD and is responsible for developing, executing and analyzing data from research projects aimed at understanding processes
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of responsibilities including the analysis and review of CME business processes including labor planning, fiscal planning, and CME workflows. In collaboration with the Office’s leadership
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computational analysis, provide input and expertise to faculty with grant proposals requiring computational support, help manage genomic data repositories and data transfers, develop code, pipelines, and a new
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employment. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics