13 Statistics "University of Wisconsin Whitewater" research jobs at Rutgers University in america
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Eligibility Qualifications Minimum Education and Experience MS or MPH in data analysis related fields: e.g., statistics, data management, biostatistics, epidemiology, sociology, psychology. Experience working
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basic bio-statistic tools. Prior experience with DNA repair, ribosome biology, RNA biology, microscopy, and computational genomics are desirable but not required. Housed in the Rutgers Cancer Institute
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independently and as part of a collaborative team. The postdoc will be encouraged to develop their own independent research program. The postdoc’s day-to-day work will include database management, statistical
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analysis pipelines and performing statistical analysis for reporting in grants and papers. Other duties include the maintenance of the laboratory facilities, equipment, and instruments, and training/managing
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statistical data with appropriate conclusions and recommendations in a weekly group meeting. Assist in the preparation of manuscripts and grant applications for the funding of research activities. Performs
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experience. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency with Adobe Acrobat Professional document creation and markup. Preferred Qualifications Experience using statistical
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are the following: Manage databases, develop analytical plans, and carry out statistical analysis for manuscripts, reports and presentations using SAS. Lead, draft, and publish papers, including first-authored papers
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in laboratory techniques and procedures in cell biology and animal behavior to carry out research assignments. Compile and analyze data with appropriate statistical analysis, conclusions, and future
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neurovascular research. - Familiarity with advanced imaging and statistics - Proficiency in using bioinformatics tools for genetics and genomics for cell biology and neuroscience research. Equipment Utilized
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relevant methodologies may be required. ·Analytical Skills: The ability to analyze and interpret complex scientific data is crucial. Familiarity with statistical software and data analysis tools relevant