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statistical computing in R and/or Python. Abilities: The following capabilities are desired: independent research capabilities, analytical acumen, attention to detail, initiative, and ethical conduct
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audiences. Proficiency with standard office and data tools (Microsoft Word, Excel, PowerPoint, coding (R or Python), reference managers). Experience demonstrating solid judgment, organizational, planning
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system, MCNP, OpenMC, Serpent, VERA, MOOSE codes, etc.). Experience with common programming and scripting languages (e.g., Python, C++, Matlab, JavaScript). Preferred Qualifications: As this position works
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biological or genomic datasets. Proficiency in programming languages commonly used in scientific computing (e.g., R, Python, Linux/Unix environment). Excellent analytical, written, and verbal communication
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. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals and scientific publications. Strong
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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-cell or spatial genomics, in vivo imaging, cellular/molecular immunology, or GPCR signaling. • Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines
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, including state-level health and social service data. • Strong quantitative analytic skills and experience using R, STATA, SAS, Python, or similar analytic software. • Experience with data linkage, data
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, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Python, Matlab, and C++, and
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-programming skills using Python, MATLAB, R, or an equivalent platform, including experience developing reproducible computational workflows. Demonstrated ability to conduct independent research, formulate data