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This position is available only to enrolled American University students.
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CFE Research
Time Type:
Part time
FLSA Status:
Non-Exempt
Summary:
The Graduate Quantitative Research Methodology Coordinator provides guidance and training to faculty on the use of quantitative data analysis software such as SPSS, STATA, SAS, EViews, Mathematica, MATLAB, R, and others. In collaboration with the Director of Data and Statistical Analysis, they conduct one-on-one consultations; custom workshops for departments; and general faculty workshops as part of CFE faculty programming. They also collaborate on researching new tools and troubleshooting solutions to questions received from faculty.
Responsibilities:
Provide guidance for faculty on the use of quantitative data analysis software such as SPSS, STATA, SAS, EViews, Mathematica, MATLAB, R, and others.
Consult on the access and use of proprietary and open-use data resources, including data available through the Inter-University Consortium for Political Research (ICPSR).
Support faculty with the import, organization, formatting, cleaning, and coding of data.
Consult faculty on the selection and application of analytical methods (such as graphing and tabulating data; descriptive and inferential statistics: including measures of central tendency and variability, correlation and regression, parametric and non-parametric tests, sampling and statistical inference, and time series and cross-section-time-series analysis).
Support faculty with the process of running analyses.
Collaborate with the Director of Data and Statistical Analysis to identify needs for new applications or modifications.
Deliver walk-in and scheduled one-on-one consultations for individual faculty members on qualitative research tools.
Deliver specialized training sessions for groups of faculty in collaboration with academic departments.
Deliver workshops during CFE’s regularly scheduled events, such as the August Faculty Workshops.
Position Type/Expected Hours of Work:
Part-Time.
Current AU graduate student.
The position is a part-year, 30-week position at 20 hours per week during the fall and spring semesters, with variable hourly work during spring, summer, and winter breaks (with high volume work during the two weeks prior to the beginning of the fall semester, the week prior to the beginning of the spring semester, and the week following the end of the spring semester, due to major events).
Salary Range:
Required Education and Experience:
Current Master’s or PhD student at American University.
A strong background in the types of quantitative and mixed methods analyses relevant to their field.
Experience with some of the software packages we support, such as SPSS, STATA, SAS, EViews, Mathematica, MATLAB, and R.
Excellent communication skills, both verbal and written.
Experience working in a team setting, providing support and guidance.
Must be able to exercise initiative, work independently, multitask, and project a professional image at all times.
Expertise in the Microsoft Office suite.
Preferred Education and Experience:
Experience working with faculty.
Other Details
This position is available only to enrolled American University students.
Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
American University is an E-Verify employer.
Visit https://www.american.edu/hr/ for additional information about American University employment and benefits.
Current American University Employees
American University current employees (including those employed in student positions) must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings.
Contact Us
For more information or assistance with the American University careers site, email [email protected].
American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual’s genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.
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