
201 - 500 employees
Founded 1979
💼 Consulting
🏥 Healthcare
🤝 Non-profit
Consulting • Healthcare • Non-profit
Child Trends is a nonprofit research organization that studies and informs policy and practice to improve the well‑being of children and families. It conducts applied research, data analysis, and evaluation on topics including early childhood development, child welfare and foster care, family health, poverty, and education, and provides technical assistance, capacity building, and strategic communications to government agencies and other stakeholders.
🔥 2 minutes ago
🇺🇸 United States – Remote
💵 $72k - $87k / year
⏰ Full Time
🟠 Senior
🔬 Research Analyst
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 1979
💼 Consulting
🏥 Healthcare
🤝 Non-profit
Consulting • Healthcare • Non-profit
Child Trends is a nonprofit research organization that studies and informs policy and practice to improve the well‑being of children and families. It conducts applied research, data analysis, and evaluation on topics including early childhood development, child welfare and foster care, family health, poverty, and education, and provides technical assistance, capacity building, and strategic communications to government agencies and other stakeholders.
• Work on multiple research and evaluation projects simultaneously as a quantitative task leader or analyst • Contribute independently and collaboratively to reports, briefs, and memos • Manage quantitative analysis plans from data cleaning through final results, including timeline, scope of work, and budget • Contribute to quantitative data collection protocols and support data collection efforts • Develop analytical plans and data management documentation with colleagues • Analyze quantitative data using basic and sophisticated statistical methods • Conduct research with an equity lens • Continue learning and growth toward becoming a more equitable employee and researcher • Assist with proposal development • Present findings to clients and stakeholders in public forums • Train and supervise research assistants and support staff • Contribute to communications and dissemination efforts • Work with federal government, state agencies, communities, and foundations on early childhood research, evaluation, technical assistance, and policy projects
• Master’s degree in research methods, statistics, applied statistics, applied mathematics, biostatistics, applied economics, data science, quantitative sociology or psychology, public health, mathematics, psychology, education, public policy, or a related field plus 2–3 years of experience OR a Bachelor’s degree plus 3–5 years of relevant quantitative experience • Experience with inferential statistical techniques and research methods, including data cleaning, missing data management, categorical and continuous data analysis, and quasi-experimental designs • Experience managing, cleaning, and analyzing secondary and/or administrative data • Proficiency with Stata or R • Proficiency with Microsoft Office, including advanced Microsoft Excel skills • Experience with data visualization • Excellent writing skills and ability to communicate complex information to general or policy audiences • Excellent task management and organizational skills • Strong communication skills • Ability to work independently and as part of a team • Strong critical thinking and problem-solving abilities • Ability to provide and take direction • All candidates must be authorized to work in the US • Resume/CV, cover letter, work sample showcasing quantitative skills, and three professional references required • Desired but not required: experience with data collection and management; methodological designs; causal analyses, structural equation modeling, multi-level modeling, policy evaluation methods; Python and/or SQL; Git and GitHub; client work
• Benefits eligibility • Flexible schedule • Flexible remote work in most states • Background check conducted only after qualified interviews and before offer decisions • Reasonable accommodation for the application or interview process • Equal employment opportunity protections
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