Quantitative Research Methodologist - Teaching and Research Support
American University
Washington DC
To Apply:
https://careers.american.edu/Staff/job/Washington-QuantitativeComputational-Research-
Methodologist-%2814653%29-DC-20016/505127500/
The Quantitative/Computational Research Methodologist supports skills initiatives for the Center for
Teaching, Research & Learning (CTRL). This position aligns with CTRL’s mission of inspiring,
mentoring, and celebrating faculty by facilitating the application of advanced quantitative and
computational approaches in teaching, research & learning. Responsibilities include providing one-
on-one consultations and workshops, researching and promoting emerging pedagogical innovations,
and administering the university’s quantitative research software packages.
Required Education & Experience
• Master’s degree (Phd preferred) in a quantitative, research-intensive field or equivalent in
education, training, and experience.
• 3-5 years of relevant work experience in statistics or in quantitative research methodology
concepts, practices, and procedures
• At least two years’ work experience in higher education working with faculty
• Knowledge of current developments in research methodology and data science.
• Experience with high-performance computing including multi-core parallel/distributed data
processing.
• Expertise in at least three of the following software packages: SAS, MATLAB, Python, R, Stata,
or EViews. It is expected that other quantitative research application software packages will be
mastered while serving in the position
• Ability to analyze and interpret data based on established statistical methods for presentation
to a broad audience.
• Knowledge of current developments in higher education pedagogy
• Ability to work independently, as well as collaboratively
• Flexibility in reordering project priorities as needed
• Excellent research, organizational, interpersonal, and oral/written English skills
• Demonstrated creativity, initiative, and strong work ethics
Preferred Education and Experience
• Familiarity with computer systems and tools, such as learning management systems (e.g.,
Blackboard), content management systems, web editing, learning and collaboration tools available
through Google and/or other online companies, and productivity tools such as Adobe Creative Suite
• At least one year’s experience working directly with faculty in conceptualizing, and designing
discipline-specific training in teaching, research or learning
