Research Assistant, Marsico Institute for Early Learning

Apply now Job no: 493147
Work type: Staff Part-Time
Location: Denver, CO
Categories: Research

The Marsico Institute for Early Learning is housed in the Morgridge College of Education (MCE) at the University of Denver. We have dedicated ourselves to improving learning environments and outcomes for children, birth to age 8. We identify the best in early learning research, practice, and policy, and we deliver that information at just the point it will be useful to academics, practitioners, policymakers, and parents — the people who can create and implement changes to improve the lives of young children. The quality of relationships and learning opportunities that young children experience can set the stage for what they will be able to accomplish throughout the rest of their lifetimes. 

Position Summary

The Marsico Institute is accepting applications for a part-time (20 hours/week on average) Research Assistant who will work as part of a team dedicated to developing and enhancing the knowledge base on engagement in STEM learning opportunities for young children with disabilities. Under the direct supervision of the Principal Investigators and Project Leads, the Research Assistant will develop and refine instructional activities designed to help young children with disabilities advance along natural developmental progressions in early math learning. The Research Assistant will also contribute to content on the Learning and Teaching with Learning Trajectories ([LT]2) website, which is a professional development tool that grounds teachers in how children learn mathematics. To learn more, visit our research projects webpage at, the STEMI2E2 website at, and

This is a temporary, grant-funded position. Incumbents must be available to work shifts between 8:00 am to 4:00 pm at least 3 days a week.

This is a non-benefited position not to exceed 1,000 hours in a calendar year. 

Essential Functions

  • Adapt brief written instructional activities from Learning and Teaching Early Math and similar research-based resources.
  • Adapt written instructional activities to accommodate children with special needs.
  • Work with the Principal Investigators and Project Leads to develop and validate learning trajectories for science, technology, and engineering, while continuing to refine and validate existing trajectories for math. 

Knowledge, Skills and Abilities

  • Facility with MS Office Suite/O365 programs, videotaping equipment, and basic features of virtual collaboration software.
  • Excellent writing skills.
  • Close attention to detail.
  • Excellent time management and organizational skills.
  • Capable of successfully working independently and as part of a team.
  • Knowledge of early childhood STEM.
  • Knowledge of universal design and RTI. 

Required Qualifications

  • Some college coursework.
  • Experience working with young children, in a classroom setting, or in social science qualitative research.
  • English language proficiency.

Preferred Qualifications

  • Special education experience.
  • Experience developing instructional content.
  • College coursework in Education, Psychology, Research, Social Science, or related field.
  • Bachelor’s degree.
  • Spanish language proficiency. 

Work Schedule

Part-time, Varies. Evenings and weekends as required. Regular local travel in the Denver-metro area is required. 

Application Deadline

For best consideration, please submit your application materials by 4:00 p.m. (MST) on July 30, 2020. 

Special Instructions
Candidates must apply online through to be considered. Only applications submitted online will be accepted.

Hourly Range
The hourly range for the position is $20.00 - $27.00.

Please include the following documents with your application:
1. Resume
2. Cover Letter (no longer than one page)

The University of Denver is committed to enhancing the diversity of its faculty and staff. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity, disability, military/ veteran status or any other status protected by law.

All offers of employment are based upon satisfactory completion of a criminal history background check.

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