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Modeling, Data Warehousing Systems, Microsoft Azure, Microsoft Excel VBA Programming, Oral Communications, Programming Languages, Project Management, Public Health Research, Python (Programming Language
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datasets to be used in epidemiological and statistical analyses. Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn
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of Washington enterprise data systems, Proficiency in R, Python, or other LLM tools used for advanced analytical modeling Demonstrated success leading data integration, visualization modernization, or process
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epidemiologic methods for environmental ‘omics and related software packages, including R, SAS, Python or equivalent. Previous experience analyzing large DNA methylation datasets, bioinformatics, and use
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results using statistical software, using AI-assisted programming tools or basic scripting (Python/MATLAB) for data handling and visualization, and general lab upkeep. The ideal candidate is independent
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at least one database management system (DBMS) such as MS SQL, Oracle Database, or PostgreSQL Experience in at least one programming language such as Python, R, or SQL Desired Qualifications: Strong capacity
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, genetics, bioinformatics and 4 years of relevant experience relevant experience in the lab’s primary methods such as molecular biology, next gen sequencing and quantitative data analysis in Python/R
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, Python (Programming Language), R Programming, SAS Analytics, Scalable Web Applications, Shell Scripting, SPSS Data Analysis, SQL Databases, Stata, Structured Query Language (SQL), UI Specification Grade
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R, Python, and bash scripting. DUTIES AND RESPONSIBILITIES Research (50%) • Align and process raw sequence data using bash scripting • Analyze high-throughput single-cell RNA sequencing data using
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in programming languages and scientific computing (e.g., Python, R, MATLAB/SimBiology). - Experience mentoring/training PhD students or postdoctoral researchers. Desired Qualifications: - Advanced