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. · Familiarity with data analysis pipelines within R or similar computational language. · Strong writing and oral communication skills. · Excellent analytical thinking and creative troubleshooting skills
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and mentoring to build analytics fluency across the audit team. Innovation, Automation & Tool Evaluation: Evaluate and recommend tools (e.g., Python, R, SQL, ACL, IDEA) to expand department capabilities
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accurate data collection, analysis, and interpretation. Uphold data governance policies and ensure compliance with FERPA and institutional privacy standards. Use programming languages like Python, SQL, or R
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and corporate R&D, helping shape research proposals, identify mutual interests, and translate technical expertise into scalable partnerships. Collaborate with the Dean of CECS, Advancement leadership
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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research infrastructure. Calibrate and maintain lab control systems and equipment; provide strategic input on repair and replacement (R&R) planning and capital expenditures. Advise and support lab personnel
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tools (e.g., Excel, Tableau, Power BI, R, or Python). Proficiency in interpreting and applying sponsor guidelines, federal and state regulations, and institutional policies to ensure compliance during
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/RNAseq prep, TapeStation and qPCR quality control, running sequencers (Illumina/Nanopore, etc.). Computational: proficiency in R, perl, and/or python, ability to run bioinformatic pipelines on High
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licensing applications to the U.S. Departments of Commerce and/or State with knowledge of the federal electronic systems for export licensing and trade transactions (i.e., BIS SNAP-R, DDTC DECCS and Customs
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for single-cell. Biological handling experience in musculoskeletal disease (such as osteoarthritis) or cancer. Additional experience in materials characterization is of interest. Familiarity with R or similar