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Curriculum Associates

Research Intern

Posted Yesterday
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Remote
Hiring Remotely in US
10K-10K Annually
Internship
Remote
Hiring Remotely in US
10K-10K Annually
Internship
The Research Intern will assist in evaluating Curriculum Associates' programs, analyzing vast education datasets, and contributing to impactful research projects. They will collaborate with team members and may present findings at national conferences.
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At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation’s K–8 students. For more than 50 years, our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has driven the continuous improvement of our innovative programs. Our team of more than 2,500 employees is composed of lifelong learners who stand behind this mission, working tirelessly to serve the educational community with world-class programs and support every day.

Summer 2026 Efficacy and Implementation Research Internship 

 

Applications missing the following will not be considered:

  • Coverletter
  • Resume/CV
  • Unofficial Transcript

About Curriculum Associates 

Curriculum Associates is an educational technology and publishing company committed to making classrooms better places for teachers and students. We are seeking a talented individual with strong research skills to join our Research team as a summer intern. 

 

About the Internships 

Our research team conducts timely and rigorous research to support Curriculum Associates in delivering products and services that make classrooms a better place for teachers and students as well as to drive national conversations to help improve teaching and learning. ​We evaluate the efficacy of CA products and services and investigate “what works, for whom, under what sets of conditions” to maximize impact. 

 

We are seeking a current doctoral student with strong research skills to join our Efficacy and Implementation Research team as a summer intern. By applying your analytic mindset, technical skills, and a wide variety of statistical methodologies to one of the richest education datasets in the country, you will help answer pressing research questions that illustrate the impact of our educational programs on student learning and provide research and analytics to support state and local decision makers. 

Interns will have the opportunity to:  

  • Manipulate and analyze the large datasets (millions of records) at Curriculum Associates. These data include some of the most extensive assessment and instructional data in the nation. 

  • Collaborate with other members of the assessment development, psychometrics, user experience, and research teams. Attend regular team meetings and work closely with experienced researchers. 

  • Gain experience with day-to-day operations as a researcher at an educational technology company. Experiences may include joining advisory committee meetings, team meetings, attending presentations geared toward a variety of stakeholders, collaborating with experts in other departments, presenting work at internal meetings, etc. 

Research Project 

Interns will focus on at least one major project. The project may be eligible for submission to a national conference at the end of the summer. Examples of past and possible future projects include the following: 

  • Efficacy evaluations of Curriculum Associates products such as i-Ready Personalized Instruction, i-Ready Classroom Mathematics, Fluency Flight 

  • Investigations of the growth trajectories of early readers 

  • Examination of differences in student usage or performance across student demographic groups, including students with disabilities and English learners 

  • Longitudinal research regarding paths to proficiency for students identified as at-risk for falling behind 

  • Examinations of state and national achievement and growth patterns. 

 

The project an intern works on will be determined based on current research needs and intern interests.  

 

Qualifications for Interns 

Candidates for the internship will ideally have the following qualifications:  

  • Currently pursuing a doctorate in education research, public policy, or other quantitative social science discipline. Preference will be given to students with at least three years of doctoral-level coursework completed by the start of the internship.  

  • Must have a strong interest in research that impacts student learning. 

  • Preferred: Experience with data manipulation and analysis in R. 

  • Preferred: Knowledge of any one of the following: hierarchical modeling, clustering or other data reduction techniques, and other complex statistical methods, efficacy and/or evaluation techniques 

  • Don’t think you meet every qualification? We encourage you to apply anyway. Studies show underrepresented students do not apply for positions if they do not meet every qualification despite otherwise being highly qualified. If you think you would be a good fit for the role, please apply. 

 

Funding, Length, and Location of Internship 

  • Interns will work remotely for eight to twelve weeks during the summer, ideally from June 8, 2026 to August 7, 2026. Flexibility can be offered in the internship dates if needed. 

  • Interns will be considered part-time temporary employees of Curriculum Associates. 

  • Interns work 40 hours/week and will be paid $10,000 for 8 weeks.   

 

Next Steps 

  • Please provide the following information in your application (attach all documents in the resume section of the application)

  • A cover letter indicating your current research interests, the reason for your interest in this internship, and any previous experiences or coursework that have prepared you for this internship  

  • A current resume / CV 

Applications must be submitted by January 12th, 2026 at 11:59 pm ET to be considered. Application reviews will begin on January 13th. Final selections will be communicated by early March.

Top Skills

R
Statistical Methodologies

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