Research - Laboratory/Non-Laboratory, Research Support - Laboratory/Non-Laboratory, Staff/Administrative
Center for Educational Transformation
Provides research, data analytic, and evaluation support to the Center for Educational Transformation (CET) and its partners, including university faculty, school districts, and other collaborators; assists with developing grants, designing research, developing data collection instruments and sampling procedures, managing data collection, conducting analyses of quantitative data, and reporting and presenting research findings to stakeholders; supports and assists the CET's efforts to communicate and disseminate research progress and results to fellow educators and constituents by facilitating writing for journal submission, technical reports, policy briefs, and practice guides; and performs other duties as assigned.
Master’s degree in research methods, experimental psychology, or related field required. At least three years of experience with multidisciplinary research teams and multilevel data analysis/measurement; advanced knowledge and experience in data management (e.g. data protection, data cleaning, codebook, development, and conducting quantitative data analysis); advanced knowledge and experience in data analytic procedures (e.g., multivariate, multi-faceted developmental processes; longitudinal modeling of large national databases, exploratory and confirmatory factor analysis, structural equation modeling); advanced knowledge in and experience with computer software statistical packages such as SPSS, Stata, SAS, R, and/or HLM; experience with large data sets; ability to work with students and faculty in a variety of disciplines; strong writing and communication skills; and commitment to working with diverse populations required. Occasional travel will be necessary. Doctorate degree in related field; expertise in latent variable models, survival and event history analysis, or multivariate multi-faceted development processes; experience with longitudinal modeling of large national databases; experience with Bayesian statistics; data mining experience; experience with grant writing and external funding; and mixed methods experience preferred. This is a part-time, non-exempt position.
Criminal and other relevant background checks required. UNI actively seeks to enhance diversity and is an Equal Opportunity/Affirmative Action employer. The University encourages applications from persons of color, women, individuals living with disabilities, and protected veterans. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, race, religion, sex, sexual orientation, protected veteran status, or any other basis protected by federal and/or state law.
The University offers an excellent benefits package including a vacation plan, employer sponsored retirement plans, health and dental insurance, and life and disability insurance. Application materials received by Tuesday, April 30, 2019 will be given first consideration. For more information or to apply, visit http://jobs.uni.edu.
The University of Northern Iowa provides a high quality and diverse educational experience, purposefully guiding students to find and develop their strengths and prepare them for success after college. Building on its historic excellence in teacher education, the university has developed outstanding programs in business, natural sciences, humanities and fine arts, and social and behavioral sciences with advanced degrees available in many programs. The University’s attractive size, approximately 12,000 students, allows UNI to offer faculty, facilities, and academic choices characteristic of a much larger university while retaining a friendly, small-college atmosphere on a park-like campus. UNI has been recognized for the past 18 years as one of the "Best Midwest Universities" by U.S. News & World Report. Located in Cedar Falls/Waterloo, the campus is comprised of more than 40 buildings on 940 acres. For more information, visit www.uni.edu.