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. Preferred Experience in genomic data analysis, computational biology, statistical genetics, or functional genomics. Proficiency in R, Python, Linux/Unix, and high-performance computing environments
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-organized code for data processing and analysis workflows Ideal candidates will have an M.S. degree (or higher) and prior experience with Python, tropical cyclone datasets, statistical-dynamical TC
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-animal interactions Exposure to quantitative methods (statistics, data analysis) or qualitative methods (ethnographic research, content analysis) Experience with Excel, R, Python, or GIS tools (not
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subject matter expert for the sponsor when needed Required Skills/Experience areas include: Software development proficiency (C#, Python, or Java) Team-based software development, troubleshooting, and
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compliance monitoring processes Apply advanced Excel techniques (complex formulas, Power Query, PivotTables, VBA/macros) and Python or similar tools to automate analysis and reporting Identify trends
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knowledge of engineering concepts and the scientific method Basic proficiency in Linux-based environments Proficiency in programming and scripting languages (C, Python, bash, PowerShell) Proficiency in using
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dataset composition impact model training, evaluation, and deployment Strong proficiency in Python and SQL for data manipulation, pipeline development, and analysis Experience with data annotation tools and
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using AI tools, Python, MATLAB, R, or similar tools Position Details Expected start date: Summer/Fall 2026 (flexible) Competitive salary and benefits Location: University Park, Pennsylvania Penn State
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predictive analytics Technical computing or analytics languages such as Python, R, SQL, or similar Success in environments where various forms of communication and organizational skills were crucial to be
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, software validation techniques, distributed computing, real-time systems, data science, database systems, and/or networking MATLAB, Python, distributed computing architectures, and middleware Current