Address
Form of workJob title: Quantitative Research Assistant
Department/Division: Math, Analytics, Science, & Technology (MAST) Division
Supervisor: Eric Chan
Extension: x5573
Email: echan1@babson.edu
Duties & Responsibilities:
Professor Eric Chan is looking for one or more Research Assistant interested in learning about academic research in applied microeconomics and public policy. This role is particularly suited for someone who would be genuinely interested in topics of inequality as it pertains to education, housing, and labor, and wish to grow their skills in data collection, cleaning data, visualizing data, and analyzing data for academic research.
The student will be expected to:
Depending on the needs and student's skills, example projects may include:
Qualifications:
This position first requires familiarity with scripting/coding in R and/or Stata and statistical analysis, especially with multiple regression and data visualization.
Other desired attributes:
Hours: Be available to work 5-10 hours per week, with an expected average of 7 hours. This may vary somewhat week-to-week depending on responsibilities. We can work together around exam/class schedules, but student must be proactive in communicating their schedules. The expected hourly salary will be $15/hr.
Additional Comments: Apply with your resume/CV and any relevant academic/career goals that aligns with this position.
Department/Division: Math, Analytics, Science, & Technology (MAST) Division
Supervisor: Eric Chan
Extension: x5573
Email: echan1@babson.edu
Duties & Responsibilities:
Professor Eric Chan is looking for one or more Research Assistant interested in learning about academic research in applied microeconomics and public policy. This role is particularly suited for someone who would be genuinely interested in topics of inequality as it pertains to education, housing, and labor, and wish to grow their skills in data collection, cleaning data, visualizing data, and analyzing data for academic research.
The student will be expected to:
- Meet weekly with supervisor
- Script/code data cleaning and analysis in R and/or Stata
- Be comfortable with multi-tasking, revising tasks, and constructive feedback
- Learn new technological and critical thinking skills
- Have a good attitude about taking on challenging and/or mundane tasks
- Be able to work independently and be a self-learner
Depending on the needs and student's skills, example projects may include:
- Manual gathering or automated collection of web-based data.
- Doing web research and perusing scholarly literature.
- Cleaning of raw data to assess missing and/or unusual patterns in data.
- Working to perfect aesthetically-pleasing graphs and tables.
- Run regression-based analysis on cleaned data and interpret outputs with guidance.
- Work on administrative tasks that may be repetitive.
Qualifications:
This position first requires familiarity with scripting/coding in R and/or Stata and statistical analysis, especially with multiple regression and data visualization.
Other desired attributes:
- Ability to handle multiple tasks and deadlines.
- Frustration will be a part of the steep learning process. Student must be willing to learn and adapt, be able to work independently (remotely, as there is not physical space), and be willing to ask for help when necessary.
Hours: Be available to work 5-10 hours per week, with an expected average of 7 hours. This may vary somewhat week-to-week depending on responsibilities. We can work together around exam/class schedules, but student must be proactive in communicating their schedules. The expected hourly salary will be $15/hr.
Additional Comments: Apply with your resume/CV and any relevant academic/career goals that aligns with this position.
