Quantitative Researcher — Social Media Safety & Youth Wellbeing

University of California - Los Angeles (UCLA); Los Angeles (CA); On-site; USD 70,000 - 110,000; Full time

Job summary

University of California, Los Angeles (UCLA) invites applications for a Research Data Analyst 3 in the Social Media Safety Research Collaborative (SMS-RC). The role focuses on data management, analysis design, and disseminating findings via publications and accessible reports.

The successful candidate will lead quantitative analyses, collaborate with the project director and faculty, and contribute to briefs for schools and policymakers. Strong R and statistical skills are required.

Qualifications

• Knowledge of digital media research and youth development.
• Experience planning and implementing research projects.
• Experience collecting and analyzing quantitative data using R.
• Strong English writing and APA style; experience writing academic articles.
• Ability to present complex methods to broad audiences.
• Ability to manage multiple tasks and meet deadlines.
• Knowledge of qualitative methods is preferred.
• Experience with national education datasets is preferred.

Responsibilities

• Lead data management and analysis for the SMS-RC project.
• Design and implement new analyses and studies.
• Disseminate results through academic publications and accessible reports.
• Collaborate with the project director, EdIS faculty leads, and OFSMS.
• Prepare data briefs and summaries for schools, parents, and policymakers.

Skills

Quantitative analysis

R programming

Data management

Academic writing

Communication

Team collaboration

Presentation skills

Education

Bachelor's degree

Tools

R

NVivo

Dedoose

Job description

University of California, Los Angeles (UCLA) invites applications for a Research Data Analyst 3 in the Social Media Safety Research Collaborative (SMS-RC). The role focuses on data management, analysis design, and disseminating findings via publications and accessible reports.

The successful candidate will lead quantitative analyses, collaborate with the project director and faculty, and contribute to briefs for schools and policymakers. Strong R and statistical skills are required.