Research Analyst, Quantitative – Sexual and Reproductive Health

Child Trends

. Conducts research and evaluation projects in the sexual and reproductive health area .

Posted 10/23/2026full-timeUnited StatesJuniorMid-Level💰 $72,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative research methods and statistical analysis, including proficiency in Stata or R for data management and manipulation. Strong communication and project management skills are essential for collaborating on research projects and presenting findings effectively.

Highest-signal resume keywords

Quantitative Research MethodsStatistical AnalysisProficiency In Stata Or RData VisualizationProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisDescriptive AnalysesRegression ModelsData CollectionData ManagementLongitudinal DataSurvey DataQualitative Analysis SoftwarePythonSQL

Soft Skills

Excellent Oral CommunicationExcellent Written CommunicationOrganizational SkillsCritical ThinkingProblem-Solving Skills

Tools & Technologies

StataRQualtricsMicrosoft OfficeExcelPower BITableauGgplot2ShinyGit

Industry Keywords

Sexual Health ResearchReproductive Health ResearchResearch ProposalsRandomized Controlled TrialsExperimental Evaluation Designs

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Conducts research and evaluation projects in the sexual and reproductive health area
Works on multiple projects as a quantitative task leader or analyst
Contributes to reports, briefs, memos, proposals, journal manuscripts, and other research products
Identifies data-cleaning steps and manages analysis timelines
Contributes to quantitative data-collection protocol design and supports data collection
Uses Stata or R to manage and manipulate datasets, including variable creation, cleaning, recoding, merging, and data-quality monitoring
Performs descriptive and multivariate analyses, including frequencies, cross-tabulations, t-tests, ANOVAs, and linear and logistic regression
Draws conclusions and prepares statistical reports, summary tables, baseline equivalence analyses, and progress reports
Reviews and synthesizes research literature and policy documents
Collaborates on analytical plans and data-management documentation
Presents findings to clients, sponsors, and other audiences in written and oral formats
Supervises and guides research assistants, including onboarding and quality review
Tracks survey response rates and flags data issues
Collaborates with evaluation leads on research design and analysis planning
Assists with proposal development and deadline management
Attends occasional in-person project activities
Performs other related duties as required

Requirements

What you’ll need

Master’s degree in a relevant discipline 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 essential
Familiarity with Qualtrics or similar survey platforms strongly preferred
Proficiency with Microsoft Office, including advanced Excel proficiency (formulas, lookups, pivot tables)
Experience with data visualization, such as Excel graphs and figures, Power BI, Tableau, ggplot2, or Shiny
Excellent oral and written communication skills
Strong organizational, task management, project management, critical thinking, and problem-solving skills
Ability to work independently and as part of a team, and to provide and take direction
Demonstrated interest in sexual and reproductive health research topics
Experience with data collection and data management is desired
Experience contributing to research proposals or grant/contract deliverables is desired
Experience with qualitative analysis software is desired
Experience with Python and/or SQL is desired
Experience with or interest in learning Git and GitHub is desired
Experience working with clients is desired
Must be authorized to work in the US
Resume/CV, cover letter, quantitative work sample, and three professional references required

Benefits

Comp & perks

This position is eligible for benefits
Flexible schedule
Remote work arrangement
Core hours of availability between 10 am–3 pm ET
Occasional in-person project activities
Background check conducted after interviews and before offer decisions
Reasonable accommodation available for the application or interview process