Assistant Research Professor - 22689BR
Assistant Research Professor
This is a hybrid position with the potential for fully remote or in person.
Specific statistical activities may include any of the following:
- Select appropriate statistical techniques.
- Assume full responsibility for the statistical analyses required for a particular study and document the analytic approach and results.
- Provide training in statistical methodology and data management strategies as appropriate for researchers and graduate students.
- Develop and conduct research on appropriate statistical techniques to be used with nonstandard research designs.
- Prepare statistical methods and results sections for manuscripts submitted for publication or for presentations for conferences or other professional meetings.
- Consult with research team in order to select appropriate research designs and statistical techniques.
- Perform power calculations and select appropriate sampling methods.
- Assist with preparation of research questions, methods, and analysis sections of grant proposals. Often this will include composing the research questions and writing the entire proposed methods and analysis plan.
- Prepare and submit grant applications related to methodological issues (i.e. statistics and research design).
- Publish in peer-reviewed journals, disseminate findings at appropriate conferences or professional meetings, and apply for grants as appropriate.
- Read and review published research on statistical methodologies/applications.
- Participate in the RDA study groups and working groups.
- Attend appropriate workshops and lectures on quantitative topics.
- Engage and participate in community, state, and national meetings.
- Consult with graduate and post-doctoral students on statistical techniques.
- Serve as a peer reviewer for journals as requested.
- Doctoral degree in quantitative methods in Educational Research, Psychology, or other related social or behavioral science field.
- Training in one of the following advanced statistical methods: multilevel analyses or structural equation modeling as evidenced by application materials.
- At least 2 years data analysis experience with research databases as evidenced by application materials.
- At least 2 years data analysis experience with a major statistical package such as SAS, SPSS, or R as evidenced by application materials.
- Experience in writing statistical methods and analysis sections for grant submissions as evidenced by application materials.
- Training in each of the following advanced statistical methods: multilevel analyses and structural equation modeling.
- Experience conducting multivariate or multi-level statistical analyses in academic databases.
- At least 2 years data analysis experience with R.
- Demonstrated ability to work independently.
- Demonstrated ability to work well with a wide variety of clients.
- Publication record demonstrating ability to perform advanced statistical analyses.
Additional Candidate Instructions
Application deadline is August 14th, 2022. To be considered, please apply by this date.