Asustaff

Asustaff

Research Analyst, Center on Reinventing Public Education

Campus: Tempe · Internship

Sponsorship not specified$50k-$85kDetected 9 days ago
Computer VisionProject ManagementRecruitingHRHRISNGSResearchLeadershipCommunicationPublic SpeakingWriting

About the role

  • Responsible for following lab safety standards.
  • They have the opportunity to independently conduct analysis and grow in research project leadership over time.
  • CRPE is a strong fit for professionals who possess an entrepreneurial spirit, enjoy working in a fast-paced, high-impact environment, and are committed to creating equitable opportunities for children, families, and educators.

Responsibilities

  • Lab and Research Support
  • Manage qualitative and mixed methods data collection, cleaning and analysis (e.g., conducting interviews and coding and analyzing data).
  • Independently manage the collection and analysis of qualitative data, drawing upon interviews, focus groups, and site observations.
  • Partner with senior researchers to initiate and lead the writing of high-impact reports, blogs, and briefings that meet the twin tests of academic respectability and potential significance for policy
  • Support research project management by developing work plans, managing timelines, and coordinating with internal teams.
  • The right candidate shows imagination and originality in their work and is not afraid to revisit settled conclusions, including their own.

Requirements

  • Bachelor's degree and three (3) years of experience appropriate to the area of assignment/field
  • Ability to work evening and weekend hours as necessary on short or limited notice.
  • MLFC mobilizes people through bachelor's, master's and doctoral degree programs, through non-degree professional development programs and through socially embedded, multilateral community engagement.
  • Graduate degree in education, education policy, or a related discipline, preferred.
  • Relevant work experience with topics of artificial intelligence in schools, school district innovation, and the education landscape broadly.
  • Experience working in schools, districts, and/or education nonprofits.
  • Demonstrated skills in qualitative or mixed-method research, including experience independently executing research methods.
  • Strong writing skills, including the ability to produce concise and compelling research products designed for non-academic audiences, and flexibility to adapt writing to CRPE's style.
  • Evidence of 2 + years successfully contributing to and showing increasing leadership with complex research projects.

Compensation

  • $50,000 - $85,000 per year

Benefits

  • Over the next five years, we aim to be the go-to source for defining a clear vision and high bar for successful post-pandemic recovery, tracking progress toward that vision, and testing bold ideas for students.
  • Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access.
  • This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves.
  • For details visit https://wellness.asu.edu/explore-wellness/body/alcohol-and-drugs/tobacco
  • Support research projects on topics like artificial intelligence in schools, districts and states; school district innovation; and leadership for a new era of education.

Equal opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.

Visa & Work Authorization

  • any single ideology while holding firmly to our core belief that public education is a goal—to prepare every child for citizenship, economic independence, and personal fulfillment—and not a particular set of institutions

This listing is sourced directly from Asustaff's careers page and normalized into a canonical job model.