Teaching Assistant - HSERV 523 Advanced Research Methods I
Description:
The HSERV 523 course is part I in the three-course series for advanced methods for HSPop PhD students. This course is a course in modern data science methods for health services researchers that simultaneously introduces big data concepts, public data sets, and statistics, epidemiology, and economics methods. Specific course topics include linear and logistic regression, generalized linear models, modeling health care costs, bootstrapping, administrative data, causal inference, and machine learning.
This is a 50% FTE Teaching Assistant role. TA will be expected to lead one or two 30-60 minute review sections for students each week (as a part of existing scheduled class time) to instruct students on practical computational and data analysis skills needed to complete homework and master course material. TA will share responsibilities for writing and grading homework with instructor.
Additional Details:Hours per week (approx.): 20
For full position details and application requirements, click the link below. The application deadline is July 30, 2024.