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
