Teaching Assistant / Instructor - Quantitative Reasoning with Data

About the role

The National University of Singapore's Provost Office is looking for Teaching Assistants and Course Instructors to lead tutorial classes for GEA1000, Quantitative Reasoning with Data, a general education course on data literacy. The course teaches learners how to ask questions, interpret data and propose actions for fields such as science, engineering, healthcare and business, using the PPDAC cycle and software such as Radiant. It works with the Departments of Statistics and Data Science and Mathematics.

Key responsibilities

• Lead engaging tutorial classes under the guidance of the Course Coordinator
• Monitor student performance, supervise group projects and give timely support to improve learning outcomes
• Design and implement new teaching materials and assessment tasks
• Grade assignments and assessments, giving prompt and constructive feedback

Required profile

• Bachelor's or Master's degree in a quantitative field (Mathematics, Statistics, Physics, Engineering, Business Analytics or Economics) from a reputable university
• Interest and ability for quantitative thinking; prior experience in scientific research or a data scientist/engineer role is an advantage
• Interest and experience in teaching or mentoring students in a quantitative field is a plus

Required skills

• Familiarity with common data analysis tools and software (Excel, RStudio, Python, Radiant or equivalent) is preferred

What we offer

• Competitive salary commensurate with the role
• Professional development opportunities, including the possibility to pursue a master's or PhD degree
• Flexible work schedule outside of teaching semesters