Education Researcher - Quantitative Analysis Specialist Job Locations

US-CA-Remote | US-VA-Arlington | US-CA-Menlo Park | US-CO-Boulder

ID 2024-5930

Category Education

Position Type Full-Time

Worker Type Hybrid Overview

SRI Education seeks a Senior Education Researcher with strong quantitative training and leadership experience and a commitment to improving education for all learners to lead projects and proposals integrating rigorous quantitative design and mixed methods approaches. In this role, you will guide collaborative project teams to apply an equity lens in designing and conducting research and large-scale program evaluations in K-16 education and communicating findings to diverse audiences. The position requires an advanced degree in social sciences or a related field, training in quantitative and casual methods, and a proven track record in writing successful research proposals for federal agencies, foundations, or commercial clients. This opportunity is posted at 2 levels of experience, and we will hire one candidate. We are happy to have candidates join us in our office locations. We have offices in Arlington, VA, and Menlo Park, CA. We also have large populations of employees in the Boston area as well as Denver/Boulder, CO. Alternatively, we will also consider 100% remote candidate

Responsibilities

Design and conduct rigorous research and large-scale program evaluations in K-16 education: Lead quantitative research design, data collection, and analysis tasks to examine impact and implementation, ensuring data quality and security. Conduct quantitative impact studies that meet the U.S. Department of Education's What Works Clearinghouse (WWC) standards. Support business development and proposal writing efforts Collaborate closely with qualitative, mixed methods, technical assistance providers, and other quantitative researchers on issues of research design, theoretical framing, and interpretation of results Apply an equity lens to quantitative design, analysis, and interpretation Contribute to development and monitoring of project budgets Communicate with clarity to diverse audiences: Lead discussions of impact study design decisions and trade-offs with clients and non-quantitative staff Write reports, policy papers, and articles for clients, policymakers, practitioners, and academic journals Present study findings clearly and accurately Adapt the presentation of findings to effectively engage diverse audiences Support technical writing of junior staff Document projects' technical work (e.g., draft technical appendices, document project statistical coding) Grow professionally through collaboration with and mentorship of colleagues with diverse expertise: Develop new skills through ongoing project-embedded mentorship and professional development opportunities Mentor junior researchers on evaluation design and research methodology

Qualifications

Required Job Qualifications to be considered for this role: Training experience: PhD in social sciences or related policy fields with strong quantitative methodology training OR a similar master's degree (e.g., statistics, biostatistics) and 3 years relevant research experience Coursework in statistical methods for causal inference and other methods commonly used within education research (e.g., experimental and quasi-experimental design, multi-level modeling) Functional experiences and capacities: Experience conducting rigorous experimental or quasi-experimental studies Experience obtaining and cleaning complex extant data (e.g., student-level district data sets) Proficiency with statistical analysis software (Stata or R) Experience generating well-structured, clear, and concise verbal and written communications on research and project activities that communicate the nuances of research design to both quantitative and non-quantitative audiences Capacity to support multiple projects simultaneously and change focus as priorities shift through use of strong organizational skills Demonstrated ability to problem solve and ensure high quality through attention to detail Additional requirements: A commitment to diversity, equity and inclusion both in research and in the workplace An asset orientation towards the capabilities of diverse learners of all ages A desire to integrate your quantitative skills into a mixed methods team Willingness to work across a range of projects related to K-16 education Candidates with one or more of the following qualifications preferred: Training in data science methods (e.g., statistical methods, data visualization, and machine learning) Experience with Institute of Education Sciences' WWC Standards and Standards for Excellence in Education Research, including experience conducting WWC reviews or contributing to the development of WWC Practice Guides Training in survey methods (e.g., sampling, validity/reliability analysis)