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National Institutes of Health/National Library of Medicine | Bethesda, Maryland | United States | 15 days ago
statistically rigorous and scalable to the volume of data being generated. In addition, semantic representation of the knowledge derived from the processing, analysis, and interpretation of these data is needed
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team. Proactive, attention to detail and willingness to learn. Working knowledge of Microsoft Office, Adobe Illustrator, Prism, FlowJo and statistical software. Previous experience in handling and
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from foundational strengths in computer science, artificial intelligence, machine learning, statistics and operations research, and the breadth of applications in every field of inquiry offered
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Ismagilov Lab, California Institute of Technology | Pasadena, California | United States | about 1 month ago
statistical analyses. Train students on lab’s computational pipelines and the use of Caltech’s high-performance computing cluster. Work with Caltech’s IT to ensure proper data and computing management. Group
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, euthanasia, tissue harvesting, cell isolation from harvested tissue, and imaging of animals utilizing echocardiography and IVUS. Evaluates and analyzes data. Compiles data, performs statistical comparison, and
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to protocol/study team for monitoring guidelines, statistics analysis plans, ICDs, clinical review forms, data edit checks, data quality planning, as needed (ultimately oversees work of protocol/study team
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to protocol/study team for monitoring guidelines, statistics analysis plans, ICDs, clinical review forms, data edit checks, data quality planning, as needed (ultimately oversees work of protocol/study team
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needs. Excellent communication and interpersonal skills. Proficient in Excel spreadsheets, Word processing, PowerPoint, and basic statistical analyses. Bilingual (Spanish) Baylor College of Medicine is an
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, clinical development plan, investigator brochure, statistical analysis plan and regulatory documents. Expand the culture of collaboration between the clinical team and partners in the Inflammation and
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apply deep medical and clinical knowledge to translate clinical research ideas into high-quality decision-making data, working closely with subject matter experts from statistics, clinical pharmacology