Research Analyst; Quantitative), Sexual and Reproductive Health

Research in the Sexual and Reproductive Health (SRH) area aims to ensure that teens and young adults (1) have access to high-quality, accurate, and inclusive sexual and reproductive health care and knowledge; (2) are able to engage in and plan for safe, consensual, healthy, and empowered sexual activity; and (3) can have wanted and healthy pregnancies and births. Additionally, we study how sexual and reproductive health is linked to child and family well-being.

Our dynamic, multi-disciplinary teams have expertise in quantitative, qualitative, and mixed-methods research; intervention development; measurement design; program evaluation; policy design; and technical assistance. Much of our research focuses on improving outcomes for communities with low incomes; young people with disabilities; and communities in under-resourced or rural areas, including Tribal communities.

• Works on multiple research and evaluation projects simultaneously as a quantitative task leader or analyst.
• Works both independently and as part of a team to contribute to reports, briefs, and memos.
• Identifies steps for data cleaning and manages analysis timelines.
• Contributes to designing protocols for the collection of quantitative data.
• Supports and contributes to data collection efforts, as needed.
• Uses Stata or R to manage and manipulate datasets; includes variable creation, data cleaning and recoding, merging files, and monitoring data quality and missingness.
• Analyzes data, with support and supervision, using descriptive and multivariate techniques, including frequencies, cross-tabulations, t-tests, ANOVAs, linear and logistic regression.
• Draws conclusions from data and prepares statistical reports, summary tables, baseline equivalence analyses, and progress reports for funders and project teams.
• Reviews and synthesizes research literature and policy documents; contributes original analytical perspectives on patterns of findings.
• Writes up research results; contributes to proposals, journal manuscripts, and other research products.
• Collaborates with colleagues to develop analytical plans and data management documentation.
• Present research findings to clients, sponsors, or other audiences in written and oral formats.
• Supervises and provides guidance to research assistants; supports onboarding and quality review of their work.
• Manages recurring project data tasks reliably, including tracking survey response rates and flagging data issues as they arise.
• Works independently with a high degree of initiative; contributes to research design and collaborates with evaluation leads on analysis planning.
• Assists with proposal development, including collecting needed information and managing deadlines.
• Attends occasional in-person project activities.
• Performs other related duties as required.

• Master’s degree in a relevant discipline (Public Health, Economics, Sociology, Public Policy, Research Methods, Statistics, Biostatistics, Data Science, Family Studies, or related social science) required; or a bachelor’s degree plus 3–5 years of social science research experience and formal study of quantitative analysis methods.
• Two or more years of demonstrated experience with quantitative research methods and statistical analysis, including longitudinal or survey data; experience supporting randomized controlled trials or experimental evaluation designs is a plus.
• Demonstrated proficiency in Stata or R required; experience running descriptive analyses, regression models, and impact analyses is essential.
• Familiarity with Qualtrics or similar survey platforms and comfort monitoring data quality and missingness are strongly preferred.
• Proficiency with the Microsoft Office suite, including advanced proficiency in Excel (e.g., formulas, lookups, pivot tables).
• Experience with data visualization (e.g., Excel graphs and figures, Power BI, Tableau, ggplot2, Shiny).
• Excellent oral and written communication skills.
• Strong organizational and task management skills; ability to manage recurring data responsibilities reliably across multiple concurrent projects.
• Strong project management skills; ability to track deliverables, anticipate issues, and communicate proactively with project leads.
• Strong critical thinking and problem-solving skills; ability to work both independently and as part of a team, and to both provide and take direction.
• Demonstrated interest in research topics related to sexual and…