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investigations. As a Data Scientist, you will be responsible for designing, developing, and implementing advanced analytical and statistical models to support research investigations on the genetics and genomics
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with tangential flow filtration Statistical software use, such as JMP Experience with GMP manufacturing Familiarity with CMC team function Experience with technology transfer to manufacturing Work
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(neuroscience.nih.gov). The position offers the opportunity to work alongside some of the world’s foremost fMRI and statistics experts and to take part in regular campus-wide seminars and workshops, including regular
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on deliverables throughout the process Provide input for the design of the Statistical Analysis Plan (SAP) and the clinical data output Responsible for review of patient level data across a study and for
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spectrometry imaging in biomedical and cancer research. Perform experiments using mass spectrometry instrumentation, as well as data and statistical analysis. Lead clinical studies and participate in research
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with 3+ years experience or MA/MS with 0+ years related experience required. Experience working with MatLab, preferably working with image processing, signal processing, statistics or data/image
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visualization / insights generation from data is easily accessible and understandable for users BASIC QUALFICATIONS Degree in Data Sciences , or Computer Sciences, Statistics, Clinical Informatics or similar
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critical path experiments in alignment with team objectives Uses critical thinking to solve complex problems, address challenges and overcome obstacles Understanding of appropriate statistical design and
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of structural-evolutionary relationships (is beneficial) Solid understanding of basic statistics Interest in the structural principles of protein-protein interactions Interest to work in a multidisciplinary team
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set-up. Proactively coordinate with Clinical Scientists and Lead Clinician to assure understanding and agreement on deliverables throughout the process Provide input for the design of the Statistical