Senior Research Associate - 17785BR
Senior Research Associate
This is a full-time (40 hours/week), unclassified position at the Lawrence campus, with occasional off-site meetings. Remote work arrangements with regular travel to the Lawrence campus will be considered for well-qualified candidates.
25% - Consult with other ATLAS staff on research and evaluation design, instruments, and data collection and analysis for a range of projects related to ATLAS’ technology-based learning and assessment systems. Provide input on research studies, and review and critique analyses, technical reports, manuscripts, and other materials from other researchers.
20% - Collaborate with other staff to develop technical documentation and disseminate project findings. This includes scholarly journal articles, briefs, and other products for a variety of audiences, along with presentations to external groups.
15% - Collaborate with colleagues, both as a lead and as support, to develop proposals for externally funded initiatives aligned with ATLAS priorities. Serve as key personnel on funded projects.
- Doctoral degree in educational psychology, educational research and evaluation, or other closely related field
- Minimum of 5 years of additional postdoc experience designing and conducting educational research and evaluation projects
- Demonstrated expertise in quantitative and/or qualitative research methodology as demonstrated by application materials (i.e. publication and presentation history) and interview.
- One year of experience in at least one data analysis program (e.g., SPSS, SAS, R, NVivo, Dedoose)
- Experience writing technical reports, manuscripts, and other dissemination products
- Experience managing multiple priorities and deadlines, including adapting in response to changes in work priorities and processes, as evidenced in application
- Experience applying detail-orientation and strong organizational skills, as evidenced by application materials
- At least one year of experience conducting applied research and evaluation on technology-based learning and assessment systems in pK-12 education
- Demonstrated methodological expertise in a specialized area within research design and data analysis (e.g., power analysis, mixed methods)
- Effective oral and written communication skills for technical and non-technical audiences, as evidenced in written application materials and interview
- Strong problem solving skills as evidenced by application materials and interview
- Demonstrated success securing funding as a PI or co-PI on a grant-funded project and/or managing externally funded research or evaluation projects.
- Record of published research on a topic related to student learning and cognition, and/or assessment in pK-12 education
- Knowledge of educational methods for disadvantaged populations, such as students with disabilities or English learners
Additional Candidate Instructions
Application review begins September 11, 2020 and continues until the position is filled. To ensure first consideration, please apply before the application review date.
Candidates invited to interview will be asked to make a 20 minute presentation on a research project of their choice. A 10-15 minute question and answer session will follow the presentation.