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to work independently as well as collaboratively Preferred Qualifications Experience programming in Java, Python, or C++ – This is not a mandatory requirement, but highly desirable as it supports smoother
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such as Python, Perl, Java Script, and shell scripts. Collaborate with team members on the design, implementation, and support of standardized automation systems. Lead a group of team members on design
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, Ethical Position Statement, and Mission of Grand Canyon University What You Will Bring: Preferred: Master's in Computer Science, Statistics or closely related degree AND proficiency in Python. Minimum
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implementation of new virtualization, storage and backup systems; Scripting to automate routine tasks preferably using Python and/or Powershell. Familiarity with: Management of Enterprise solutions including
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data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python or other available tools with an interest in
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. Experience with next-generation sequencing and/or exome/whole genome sequence analysis. Computer programming (e.g. R/Python) and bioinformatics experience. Familiarity with NGS clinical testing, databases
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(Excel or Power BI) and in at least one data science tool (Python or R) and have prior experience working with other stakeholders to deliver successful learning outcomes. Experience in performance
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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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analysis in Python or R Experience analyzing next-generation sequencing (NGS) data Experience with mass spectrometry-based immunopeptidomics data analysis is a plus Hands-on expertise with version control