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Social Science Research Manager Jobs (NOW HIRING)

DCG

Social Scientist

Washington, DC · Remote

Support and implement social science research tasks of moderate to high technical complexity * Contribute to the planning, execution, and management of qualitative and quantitative research projects

DCG

Social Scientist

Baltimore, MD · Remote

Support and implement social science research tasks of moderate to high technical complexity * Contribute to the planning, execution, and management of qualitative and quantitative research projects

CACI

Social Scientist

Colorado Springs, CO · On-site

By applying behavioral, cultural, political, and social science research methods, you will provide data-driven insights that inform operational planning, influence activities, and strategic decision ...

CACI

Social Scientist

Tampa, FL

By applying behavioral, cultural, political, and social science research methods, you will provide data-driven insights that inform operational planning, influence activities, and strategic decision ...

CACI International, Inc.

Social Scientist

Tampa, FL · On-site

By applying behavioral, cultural, political, and social science research methods, you will provide data-driven insights that inform operational planning, influence activities, and strategic decision ...

The Pennsylvania State University

$19 - $26/hr

AND POSITION REQUIREMENTS The Social Science Research Institute is seeking candidates for Part-Time ... database management, etc. These are part-time positions for no more than 20 hours per week.

CACI

Social Scientist, SME

Annsville, NY · On-site

S. and partner forces better understand the human dimension of conflict and competition By applying behavioral, cultural, political, and social science research methods, you will provide data-driven ...

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Infographic showing various Social Science Research Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Lead Analyst - Quantitative Social Science Research

Washington, DC • Remote

BETA Systems International
IT Services • 1 - 10 employees
Learn more about BETA Systems Internationalexternal

Contractor

Posted 8 days ago

Job description

Location: Remote
Employment Type: Contract / Project-Based
Anticipated Period: October 2026 – September 2027
Company: The Brandon Green Management Group (BGMG)
Project: Federal Correctional Officer Retention AnalysisPosition Summary

BGMG is seeking is seeking a Lead Analyst to lead quantitative analysis for a federal workforce research project examining correctional officer attrition and monetary retention incentives.
**This role is pending subject to contract award**

The Lead Analyst will lead statistical analysis using R, including regression analysis and quasi-experimental designs (QEDs). The work is expected to include discrete-time survival analysis and staggered difference-in-differences analysis. The analyst must be able to assess model assumptions, adjust analytic methods when needed, document code, and explain complex findings in plain language.

Key Responsibilities
  • Serve as technical lead for quantitative research and statistical analysis.
  • Refine and expand government-provided analysis plans.
  • Conduct descriptive analysis of correctional officer attrition using workforce and payroll data covering 2001–2026.
  • Examine how attrition risk changes over an employee's career.
  • Analyze individual and institution-level factors associated with attrition.
  • Conduct discrete-time survival analysis, including logistic regression where appropriate.
  • Analyze relationships between monetary retention incentives and attrition.
  • Conduct staggered difference-in-differences or other appropriate quasi-experimental analyses.
  • Examine dose-response relationships between incentive levels and attrition.
  • Assess interactions involving institution characteristics such as rurality and security level.
  • Evaluate model assumptions and adjust statistical methods when supported by the data.
  • Conduct sensitivity, diagnostic, and robustness analyses as appropriate.
  • Write clean, documented, reproducible R code.
  • Prepare shareable R code that allows DOJ to replicate analyses.
  • Interpret statistical results and limitations.
  • Draft technical findings for interim and final reports.
  • Translate complex quantitative results into concise, plain-language findings for decision makers.
  • Support development of presentation materials for non-technical audiences.
  • Provide technical leadership to supporting researchers and analysts.

The solicitation places specific emphasis on deep quantitative expertise and the ability to adjust analytic techniques based on the available data rather than simply executing a predetermined model.

Minimum Qualifications

Candidates must meet one of the following education paths:

  • Doctor of Philosophy (Ph.D.) in statistics, economics, or another quantitative social science from an accredited institution; or
  • Master’s degree in statistics, economics, or another quantitative social science plus three additional years of related professional experience above the minimum requirement.

Candidates must also have:

  • At least 5 years of professional experience in applied quantitative social science research.
  • Expertise writing R code.
  • Experience implementing regression analyses in the context of quasi-experimental designs.
  • Experience serving as a team leader.
  • Experience translating complex quantitative findings into plain-language, concise findings.
Preferred Qualifications
  • Workforce or labor research experience.
  • Difference-in-differences analysis experience.
  • Survival or event-history analysis experience.
  • Experience analyzing longitudinal workforce, payroll, or administrative data.
  • Experience with non-random treatment assignment and observational research designs.
  • Experience with U.S. Government-funded research.
  • Experience preparing reproducible analytical code and documentation.
  • Experience presenting statistical findings to non-technical decision makers.
Application Requirements

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