Academic Researcher
About the position
Responsibilities
• Uses various computer programs and software to perform data computation, statistical analysis, etc. (Proficiency in R is required; flexibility to work in other languages and environments, including Python or SQL, is desirable).
• Coordinates and determines compatibility of data from various sources (e.g., internal ASU data tables and external datasets) with support from data management teams.
• Manages data collection and compilation.
• Performs data cleaning, statistical analysis, and data visualization in R.
• Selects, develops, and/or recommends appropriate research design methodologies, data analyses, and statistical procedures; assists with determining appropriate methodology to be used for specific project(s).
• Understands, values, and contributes to the richness of co-informed data-driven insights (i.e., those formed from the combination of qualitative and quantitative methods).
• Contributes to internal Action Lab/DSL reports and presentations as needed; helps prepare formal research reports and presentations for dissemination to various audiences; performs literature reviews to inform research design.
• Collaborates with the DSL research team to conduct quantitative research to co-inform instructional practices, pedagogy, engagement, and technology decisions.
• Manages a high volume of research files; tracks, manages, prioritizes, and reports daily, weekly, and monthly tasks.
• Co-manages survey research process in Qualtrics; designs, develops, and implements research surveys using Qualtrics.
• Assumes or coordinates other duties or projects as assigned or directed.
Requirements
• Bachelor's degree and three (3) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
• Proficiency in R is required
• Demonstrate excellent time management skills
• A willingness to collaborate and learn new skills
• The patience to succeed
Nice-to-haves
• PhD required (preferably in learning sciences, data science, or related discipline, or from a quantitatively rigorous area of study); will consider candidates who are close to defense date/ABD with a plan to finish within a reasonable timeframe.
• Demonstrated skills in data management, statistical analysis, and modeling in R (R knowledge is required).
• Demonstrated skills in the design, development, and implementation of surveys in Qualtrics.
• Experience with quantitative research methods, including but not limited to experimental/quasi-experimental design, descriptive and inferential statistics, and modeling data.
• Demonstrated ability to perform general/generalized linear modeling, path analysis, and structural equation modeling.
• Broad experience/interests in various statistical abilities and interest in developing skills to match needs in these areas.
• Demonstrated familiarity and experience with SQL or an ability to learn.
• Evidence of creative research design ideas to elicit defensible and co-informed research findings.
• Evidence of effective communication and collaboration skills.
• Demonstrated ability and willingness to work in a highly matrixed and team environment.
• Experience in higher education research and practice preferred.
Benefits
• Healthcare
• Financial Security
• Retirement
• Family Resources
• Tuition Reduction (Eligible ASU Employee, their dependents and spouse.)
• Discounts
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