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and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
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collaboratively with the existing biostatistical team on data management, quality control, and reproducible analytic pipelines for large and complex datasets, including clinical and laboratory data. Contribute
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analysis, power analysis, mixture models, causal inference, psychometrics, sequential and time series analysis, and/or analyzing large datasets are plusses. Strong data management skills are required
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, survey design, and experimental techniques Ability to collect, organize, and manage large datasets efficiently while maintaining data integrity and confidentiality Excellent written and verbal
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uses observational field data, experimental data, and field experiments. Salary is $68,000 annually, plus benefits. Expected start date is mid-June 2026. Visa sponsorship is available. For examples
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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have a strong quantitative background in aging, disability and health systems research including experience analyzing complex datasets such as Medicare/Medicaid claims data. The ideal candidate will have
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically
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organizing the large bank of human aneurysm and artery specimens, interfacing with the collaborating clinical sites on the proper handling and transport of the specimens from the clinic to the Pitt laboratory