Lecturer I

Responsibilities

• Lead 3 laboratory sections per week for QMSS 301 under the guidance of a faculty instructor of record
• Prepare lessons, curate datasets, and assist with the creation of weekly laboratory assignments
• Hold at least 3 hours of weekly office hours to support student learning
• Attend weekly QMSS Community Hours to provide supplemental academic support to students
• Participate in weekly teaching team meetings and program activities
• Grade assignments and projects while providing constructive feedback to students
• Assist with the management of software, tools, and datasets used in the course

Requirements

• PhD in a social science discipline with a demonstrated focus on quantitative methods
• Experience teaching courses that utilize quantitative methods and analysis
• Demonstrated proficiency in teaching and using coding-based statistical programs

Preferred Qualifications

• Proficiency with multiple analytical tools, specifically R and Python
• Experience applying data science skills to social science-oriented research
• Expertise in data cleaning, management, descriptive statistics, and hypothesis testing
• Experience with web scraping, text-based analysis, geospatial analysis, and predictive analysis
• Experience teaching undergraduate students

About the Company

The University of Michigan's Quantitative Methods in the Social Sciences (QMSS) program aims to train undergraduate students in the theories and methods needed to be successful, data-literate social scientists. We teach data-based skills from a unique social science perspective to prepare students for modern careers in research, data science, and beyond.