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Field
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/Licenses Required Knowledge, Skills, and Abilities Strong working knowledge of Microsoft Word, PowerPoint, and Excel. Proficiency in R and Python. Strong interpersonal, written, and oral communication skills
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experience in Python and/or R preferred Demonstrated interest in pediatric translational and basic science Appointees in the Specialist Series will be expected to engage in specialized research and
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value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable
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multiple sources, including numerous UC campus systems: (Berkeley Financial System (BFS), CalAnswers, UCPath, Student Information System (SIS)). Requires expertise in Javascript, SQL, Python, Stata, or R
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. To perform this role, the incumbent will need to possess various technical skills, including proficiency in SQL, Python, R, or SAS, and have experience working with visualization technologies such as Tableau
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Utilize Excel and other statistical software (e.g., Python) to compile, clean, analyze, and verify large data sets: First-Destination Survey (FDS), Student Satisfaction/Academic Internships Survey, employer
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programming languages such as STATA, R, and Python. Create reproducible, well-documented projects and manage advanced codebases. Preferred Competencies Handle multiple projects simultaneously. Work
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concise manner both verbally and in writing. Strong organizational skills. Ability to multi-task in juggling multiple projects (and/or multiple aspects within a complex project) concurrently, including
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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired