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Details Posted: 02-Feb-24 Location: New York, NY Salary: Open Categories: Academic/Faculty Internal Number: 120765 Dr. Suzanne Leal's group in the Center for Statistical Genetics at Columbia
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an opportunity to gain experience in academic business research, with a special focus on fields such as finance, economics, statistics, and data science; and would be ideal preparation for a Ph.D. program or other
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(e.g., NHANES). Responsibilities: Maintains and organizes datasets Performs statistical analyses of datasets, including descriptive analysis, survival analysis, prediction modeling, and multiple
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development workshops and seminars (e.g., on statistical techniques, new technologies for research computing, databases, programming languages, etc.) for research staff. Partners with stakeholders including
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to opportunities to leverage information in these datasets to answer research questions (2) Developing analytical models and performing statistical analysis, including running regressions (3) Monitoring the status
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of the Principal Investigator, Dr. Paris Adkins-Jackson. The Scientist will support several ongoing projects including tasks like data management, and statistical and psychometric analysis with complex survey
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Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics, Computational Neuroscience, Genomics, or Bioinformatics), and extensive experience in standard workflows for analysis of large-scale
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statistical records, and other related logs pertaining to the laboratory. Effectively analyzes, trouble shoots and resolves routine technical issues. Assist in setting up, evaluating and trouble-shooting new
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biology, statistical genetics, and molecular biology. We are looking to add another biostatistician to our team. Thematically, we pursue projects related to Alzheimer's disease, Multiple Sclerosis
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effectively in collaborative research groups. Experience in research or healthcare. Experience with statistical analysis software (e.g., R or similar software). Experience in research using wearable and/or