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(unstructured and structured text, knowledge graph, etc) Design and conduct experiments to test hypotheses with applied statistics Analyze and interpret results, present research progress to meetings with PIs
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sciences, data science, machine learning, statistics, mathematics, computer science, or related fields. Preferred Qualifications: Experience in at least one programming language such as Python or R
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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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professional. The successful candidate will have a passion for collaborative research and will contribute in the areas of study design, data management, a broad range of statistical analysis, and scientific
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a model organism; (2) statistically evaluate linkages between tissue PFAS concentrations and integrated omics and organismal responses; (3) integrate disparate data types in order to provide
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following areas: clinical outcomes, statistical analysis, qualitative interviews, database creation and management. Demonstrated evidence of critical thinking. Excellent verbal and written communication
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appropriate statistical analysis. Moreover, we expect that you will be able to write manuscripts, grant applications etc. in a highly independent fashion. As such, you are expected to actively pursue working in
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experimental design, data collection, analysis (graphing and statistics), quality control, and writing manuscripts and grant proposals. Work well independently and as a member of a highly collaborative team
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Office, Prism (or other data analysis and statistical software) required. Experience with mammalian cell culture, cell biology and basic molecular biology techniques are preferred. Comfortable with
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, resource-poor settings, high-risk populations, disadvantaged populations, or military populations Statistics training and experience at the intermediate level (e.g., can develop and run own multivariable