358 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers in United States
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Research. This position is responsible for overseeing Hematology's Clinical Trial Management Data Team which includes providing guidance on data collection, management, and analyses for clinical research in
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. Attention to detail and organizational skills are essential in coordinating data across multiple disciplines and collaborating sites. This role will be research focused and be patient/participant facing. Job
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, and names and contact information of three references to tdawson@jhmi.edu and vdawson@jhmi.edu All employment decisions shall be consistent with the principle of equal employment opportunity, and only
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely
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(general internal medicine, family medicine, or geriatrics), and post-doctoral training is preferred. For more information about the position, including required qualifications and application materials, go
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make decisions. Can present/facilitate independently in senior-level meetings. Presents information as a structured story and anticipates questions well. Addresses difficult questions and challenges
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Job Description The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical
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(GPM) and St. Jude Global. Develops and reviews contracts to identify and interpret appropriate data for system entry, maintenance, retrieval and archiving. Provides ongoing assistance and support to GPM
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., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software
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About the Role: We are seeking a highly skilled and motivated Research Specialist with advanced expertise in mass spectrometry-based data analysis, particularly in quantitative label-free and/or