Research and Evaluation Associate- Remote

Job Summary

The Research & Evaluation Associate is a masters or higher-level research professional responsible for quantitative data analysis of Weitzman Institute research projects. The role requires working with principal investigators, project managers, and stakeholders to plan, measure, and analyze simple and complex data sets, using data analytic skills to ensure research goals are met, including support for grant and manuscript preparation.

• Contribute to the design, planning, implementation, and management of studies (e.g., observational, experimental, qualitative).
• Develop detailed protocols for conducting research, including data collection processes and instruments.
• Clean, transform, manage, and analyze data from various sources (e.g., surveys, electronic health records).
• Perform statistical analyses such as descriptive statistics, correlations, t-tests, regression, factor analysis, mixed-effects modeling, sample and effect size calculation, and other statistical modeling under direction of research leads.
• Prepare reports, manuscripts, and presentations for scientific and lay audiences.
• Contribute to grant and contract proposals to governmental (e.g., NIH, CDC) and nongovernmental funding sources.
• Perform other duties as assigned.

• Master’s-level or higher training in a health-related field (preferably a quantitative discipline) with 1–3 years post-graduate research experience.
• Proven experience developing and conducting surveys and establishing measures to assess research questions.
• Demonstrated knowledge and experience analyzing and reporting data to scientific and community-based audiences.
• Strong track record supporting grant proposals and contributing to publications.
• Clear, concise writing, communication, and presentation skills; first author on at least one peer-reviewed journal article preferred.
• Proficiency with SPSS and R, ideally with a minimum of three years as an analyst.
• Proficiency with Microsoft Office, specifically Excel.
• Strong interpersonal, organizational, time‑management, and prioritization skills; ability to multi-task and keen attention to detail.
• Exceptionally self‑motivated and directed, with preference for experience working on a fully remote team.
• Willingness to assist at all levels, from note-taking and data cleaning to national conference presentations.

This position is fully remote. The workspace must be suitable for confidential and distraction-free work.

Full time