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data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance
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Biology is desirable. Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Baylor College
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-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration. Has the ability to develop algorithms and code for innovative multi-omics data analysis. Baylor College
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data. Develop algorithms and predictive models to solve critical business problems in trauma and surgical critical care. Provide statistical and advanced analytics expertise to develop plans for surgical
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statistical models and algorithms to predict future trends, behavior, and outcomes based on historical data. Assists in designing and analyzing tests to evaluate the effectiveness of different strategies
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). AI Integration Upskilling: Prior experience teaching students how to ethically navigate AI-driven Applicant Tracking Systems (ATS), optimize profiles for digital algorithmic screening, and utilize
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms