Job DescriptionWe are seeking passionate and articulate individuals with a strong desire to empower young minds in Data Literacy. GEA1000 Quantitative Reasoning with Data, the default NUS course for Data Literacy, equips learners with essential quantitative reasoning skills to ask questions, make sense of data, and propose actions for real-world applications across diverse fields like science, engineering, healthcare, and business. The course utilizes the Problem-Plan-Data-Analysis-Conclusion (PPDAC) cycle and software packages (such as Radiant) for hands-on data analysis, visualization and actionable insights generation.Responsibilities:In collaboration with the Departments of Statistics and Data Science, and of Mathematics, the Provost Office seeks Teaching Assistants/Course Instructors to lead engaging tutorial classes for GEA1000. Responsibilities include:Leading engaging tutorial classes under the guidance of the Course CoordinatorMonitoring student performance, supervising group projects, and providing timely support to improve student learning outcomeDesigning and implementing new teaching materials and assessment tasksGrading assignments and assessments to evaluate student competency with prompt and constructive feedback to studentsCourse materials and training will be provided.QualificationsPrerequisites:A Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Engineering, Business Analytics or Economics) from a reputable universityFamiliarity with common data analysis tools and software (e.g., Excel, RStudio, Python, Radiant or equivalent) is preferredInterest and ability for quantitative thinking. Prior experience in scientific research or data scientist/engineer role is an advantageInterest and experience in teaching or mentoring students in a quantitative field is a plusBenefits:Competitive salary commensurate with roleProfessional development opportunities, including the possibility to pursue a master's or PhD degreeFlexible work schedule outside of teaching semestersMore InformationLocation: Kent Ridge CampusOrganization: Office of the ProvostDepartment : General Education UnitEmployee Referral Eligible: NoJob requisition ID : 26544
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