American Institutes for Research
Location: Washington, D.C
The American Institutes for Research is one of the leading behavioral and social science research organizations in the world. Our overriding goal is to use the best science available to bring the most effective ideas and approaches to enhancing everyday life. For us, making the world a better place is not wishful thinking. It is the goal that drives us. Founded in 1946 as a not-for-profit organization, we conduct our work with strict independence, objectivity, and non-partisanship. The intellectual diversity of our 1,600 employees enables us to bring together experts from many fields in the search for innovative answers to any challenge.
- Applying appropriate techniques to collect, organize and analyze quantitative data
- Organizing and documenting analytical results and research procedures
- Creating and piloting quantitative data collection instruments
- Serving as client contact for analytical or statistical expertise
- Developing conceptual frameworks that guide project work
- Managing or leading projects or tasks
- Preparing technical reports and journal articles
- Presenting findings to clients and to the public
- Assisting in developing and drafting business proposals
- Mentoring research associates, sharing his/her approaches to solving concrete problems, and providing positive and constructive feedback on the work of others
AIR offers an excellent compensation and benefits package, including a fully funded retirement plan, generous paid time off, commuter benefits, and tuition assistance.
- A Ph.D in Educational Measurement, Quantitative Psychology, Statistics, Industrial-Organizational Psychology, or related field, with at least 5 years of relevant work experience in test development and applied statistical analysis.
- Able to apply advanced statistical methods and communicate effectively about these methods to technical and non-technical audiences.
- Highly proficient in Excel, SAS, SPSS and/or R, and open to learning new statistical tools as required by different projects.
- Experience with large and/or complex data files, including a variety of file types such as .dat, .xlsx, .xml, .sav, and .sas7bdat.
- Knowledge of classical test theory, item response theory, scaling and equating.
For more information, please visit our website at www.air.org. To apply, please go to https://jobs-airdc.icims.com/jobs/8580/quantitative-researcher/job .EOE.