Assistant Research Professor - 22728BR
Assistant Research Professor
With a mission to ensure people with developmental disabilities have opportunities to make choices regarding participation in society and quality of life, the Kansas University Center on Developmental Disabilities (KUCDD) is recognized as a leading research center in the field of disability studies. KUCDD implements and conducts grant-funded projects focusing on both applied research on in the intellectual and developmental disabilities field and interdisciplinary training in the disability field. KUCDD is part of the Life Span Institute (LSI), a hub of research activity at the University of Kansas. As a University Center for Excellence in Developmental Disabilities (UCEDD) funded by the Administration on Intellectual and Developmental Disabilities, the core functions of the KUCDD are:
- Community Services (including technical assistance, community education, and direct services)
- Information Dissemination
- Interdisciplinary Training
- 60% - Data Science Activities: As a member of an agile team of data scientists, the person will assist in developing and validating scripts used to organize, analyze, and report data; assist different research teams in problem-solving the collecting, managing, and analyzing of data to advance research agendas; and participate in the knowledge dissemination activities (e.g., write ups) across a range of funded projects for multiple investigators affiliated with KUCDD leading to deliverables.
- 15% - Grant preparation activities: As a member of research teams affiliated with KUCDD, the person will help investigators affiliated with KUCDD in the development of grant applications, including, but not limited to, selecting research designs, designing analysis plans, running simulation-based power analyses, and checking proposed measurement instrumentation fully addresses research questions.
- 10% - Establish/continue a personal line of inquiry to test/disseminate statistical methods/applications relevant to advancing disability research, including publishing methods papers and/or measurement papers in scientific journals and conferences. Staying current with advances in statistical methodologies/techniques. Read and review published research on statistical methodologies/applications. Attend appropriate workshops and lectures on quantitative topics. Participate in study groups at KUCDD focused on statistical methodologies/applications.
- 10% - Publication and presentation of content research findings: Based on results from statistical analyses related to ongoing KUCDD grant-funded data collection, prepare statistical methods and results sections for manuscripts submitted for publication or presentations for conferences or other professional meetings.
- 5% - Engage in service activities at KUCDD, LSI, and service actives related to funded projects and dissemination.
- Doctoral degree in quantitative methods in Educational Research, Psychology, or other related social or behavioral science field.
- Demonstrated ability to work as a member of a team towards goals and communicate with a wide variety of stakeholders while always maintaining the highest levels of professionalism in alignment with the respectful and inclusive culture being fostered at KUCDD as demonstrated from application materials and references.
- At least 2 publications in the disability field that align and promote the mission of KUCDD to enhance the quality of life, self-determination, and inclusion of people with developmental disabilities and their families as evidenced by application materials.
- At least 2 publications testing or disseminating statistical analyses that have application in the field of disability, such as, for example, multilevel models, structural equation modeling, or Bayesian statistics as evidenced by application materials.
- Demonstrated fluency in developing scripts to perform data science activities and at least 2 years applied experience with a major statistical package such as SAS, R, or Mplus as evidenced by application materials.
- Experience in writing statistical methods and analysis sections for grant submissions in disability as evidenced by application materials.
- Additional advanced degree in related field (e.g., Special Education, School Psychology).
- Fluency in Applying Bayesian statistics.
- At least 2 publications in measurement development for instruments in the disability field.
- At least 2 grant application awards for work in the disability field in which the person is listed as quantitative methodologist.
- Ability to effectively communicate advanced statistical analyses to a range of audiences.
- Experience in online survey development and feasibility testing, such as, for example, through Qualtrics or Survey Monkey for research.
- Experience in preregistration and open science (e.g., publicly sharing reproducible output, scripts, and data).
- Experience in cost analysis.
Additional Candidate Instructions
- A cover letter addressing how required and preferred qualifications are met.
- Contact information for three professional references. At least one of the references must be a current or former supervisor.