Occupation · SOC 19-4061
Social Science Research Assistants
Assist social scientists in laboratory, survey, and other social science research. May help prepare findings for publication and assist in laboratory analysis, quality control, or data management.
Median wage
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Projected growth
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Annual openings
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per year
Employed (US)
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Job Zone 4
Typical preparation
Considerable preparation
Stackable credential programs
2,525 mapped
Core skills
Reading ComprehensionWritingCritical ThinkingActive ListeningSpeakingComplex Problem SolvingScienceMathematicsJudgment and Decision MakingActive LearningSystems AnalysisLearning StrategiesTime ManagementSystems EvaluationSocial PerceptivenessMonitoringCoordinationProgrammingInstructingQuality Control AnalysisPersuasionService OrientationNegotiationManagement of Personnel ResourcesOperations MonitoringOperations AnalysisManagement of Material ResourcesTroubleshootingTechnology DesignManagement of Financial ResourcesOperation and ControlEquipment SelectionRepairingInstallationEquipment Maintenance
Knowledge areas
English LanguageComputers and ElectronicsAdministrativeMathematicsCustomer and Personal ServiceEducation and TrainingPsychologyAdministration and ManagementLaw and GovernmentCommunications and MediaSociology and AnthropologyEconomics and AccountingBiologyTherapy and CounselingPersonnel and Human ResourcesMedicine and DentistryPhilosophy and TheologyTelecommunicationsChemistryPublic Safety and SecurityForeign LanguageDesignTransportationSales and MarketingHistory and ArcheologyGeographyMechanicalPhysicsProduction and ProcessingEngineering and TechnologyFine ArtsFood ProductionBuilding and Construction
Technology & tools
Adobe IllustratorAdobe InDesignAppletreeC++Database softwareESRI ArcGIS softwareExtensible markup language XMLGraphics softwareIBM SPSS StatisticsJavaScriptMicrosoft AccessMicrosoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft PowerPointMicrosoft SQL ServerMicrosoft Visual BasicMicrosoft WordOnline library databasesOracle JavaPerlPythonQualtrics InsightRREDCap Research Electronic Data CaptureSASStataCorp StataStatistical softwareStructured query language SQLTableauThe MathWorks MATLABVideo development softwareWeb browser software
Representative tasks
Working with ComputersProcessing InformationAnalyzing Data or InformationCommunicating with Supervisors, Peers, or SubordinatesGetting InformationDocumenting/Recording InformationInterpreting the Meaning of Information for OthersOrganizing, Planning, and Prioritizing WorkIdentifying Objects, Actions, and EventsUpdating and Using Relevant KnowledgeEstablishing and Maintaining Interpersonal RelationshipsDeveloping Objectives and StrategiesMaking Decisions and Solving ProblemsCommunicating with People Outside the OrganizationThinking CreativelyEstimating the Quantifiable Characteristics of Products, Events, or InformationTraining and Teaching OthersPerforming Administrative ActivitiesCoordinating the Work and Activities of OthersEvaluating Information to Determine Compliance with StandardsScheduling Work and ActivitiesProviding Consultation and Advice to OthersMonitoring Processes, Materials, or SurroundingsPerforming for or Working Directly with the PublicGuiding, Directing, and Motivating SubordinatesDeveloping and Building TeamsCoaching and Developing OthersJudging the Qualities of Objects, Services, or PeopleMonitoring and Controlling ResourcesSelling or Influencing OthersResolving Conflicts and Negotiating with OthersStaffing Organizational UnitsAssisting and Caring for OthersInspecting Equipment, Structures, or MaterialsControlling Machines and ProcessesHandling and Moving ObjectsDrafting, Laying Out, and Specifying Technical Devices, Parts, and EquipmentRepairing and Maintaining Electronic EquipmentPerforming General Physical ActivitiesOperating Vehicles, Mechanized Devices, or Equipment
Competency framework
Skill expectations by proficiency level.
emerging
Data entry tasks — execute accurately and consistently under direct supervision in a structured research project environment.Existing database records — verify for accuracy and flag apparent errors for review by a senior researcher in a university or policy research setting.Statistical software packages — operate using provided scripts to run basic descriptive analyses on cleaned social science datasets.Research results — compile into draft summary tables and graphs following established templates under close guidance from project leadership.Project-related manuscripts and presentations — gather source materials and format reference sections in compliance with style guidelines specified by supervising researchers.Structured data files — import, sort, and filter using spreadsheet software to support ongoing research project tasks.Research protocols and procedural documentation — read and apply to assigned tasks, seeking clarification when ambiguities arise in a supervised team context.Geographic information system tools — use at a basic level to locate and retrieve spatial datasets relevant to an assigned social science study.Team meetings and research briefings — participate in attentively, taking notes and summarizing key points to support project documentation.Quality control checklists — apply to completed data entry batches, identifying discrepancies and escalating unresolved issues to a supervising researcher.
developing
Custom data entry and cleaning scripts — design and test using statistical or scripting software to automate repetitive processing tasks on mid-sized social science datasets.Descriptive and basic multivariate statistical analyses — perform independently using software such as SPSS, Stata, or R, interpreting output in the context of a defined research question.Database tables and relational structures — prepare, manipulate, and maintain to support longitudinal or multi-wave research projects with reduced oversight.Fact sheets, written summaries, and visualizations — produce from analyzed data for inclusion in project reports, adapting presentation style to target audiences such as policymakers or academic reviewers.Research quality control procedures — implement systematically across assigned project phases, documenting deviations and recommended corrective actions.Manuscript drafts and conference presentations — contribute substantive sections to, incorporating correctly cited findings and coordinating revisions with co-authors.Analytical or scientific software — configure and troubleshoot in routine research computing environments, resolving common errors without escalation.Incoming datasets from multiple sources — assess for validity and consistency, applying established criteria to determine fitness for analysis in a multi-site study.Research team members and external stakeholders — communicate findings clearly in both written and oral formats during project status updates and departmental meetings.Data governance and file management conventions — apply consistently across shared project drives and database systems to ensure reproducibility and regulatory compliance.
proficient
Complex multivariate and inferential statistical analyses — design and execute autonomously, selecting appropriate methods based on research design and data characteristics in a professional research environment.Purpose-built analytical programs — develop and document using object-oriented or scripting languages to handle non-routine data transformations and statistical modeling tasks.Large-scale relational databases — architect, optimize, and manage end-to-end across multi-year research projects, ensuring data integrity and accessibility for interdisciplinary teams.Comprehensive research quality control frameworks — develop and enforce across all project phases, diagnosing systemic data issues and implementing validated corrective procedures.Peer-reviewed manuscripts and technical reports — lead the drafting and revision of, synthesizing quantitative findings with contextual interpretation suitable for academic and policy audiences.Ambiguous or conflicting datasets — evaluate critically using inductive and deductive reasoning to resolve analytical challenges without supervisory input in fast-paced research contexts.Geographic information system analyses — conduct independently to integrate spatial variables into social science research designs and enrich multivariate models.Research presentations — deliver authoritatively to diverse audiences including academic conferences, funding agencies, and government clients, defending methodological choices under scrutiny.Junior research staff — mentor in statistical methods, software use, and scientific writing, providing structured feedback that accelerates professional development.Cross-functional project timelines and data workflows — manage and coordinate across team members and institutional partners to ensure on-schedule delivery of research outputs.
advanced
Organizational research strategy and methodology standards — define and champion across a division or institute, aligning social science projects with institutional priorities and funder requirements.Enterprise-level data infrastructure and quality assurance systems — design and oversee, establishing policies that govern data collection, storage, and validation across multiple concurrent research programs.Research program portfolios — lead from conception through dissemination, making high-stakes methodological and resource allocation decisions that shape the direction of the organization's scientific output.Statistical and analytical innovation initiatives — spearhead by evaluating and integrating emerging technologies and methods into the research pipeline, positioning the organization at the cutting edge of quantitative social science.Senior scientists, policy clients, and funding bodies — communicate and negotiate with at the executive level, translating complex research findings into strategic recommendations that influence policy or practice.Research staff competency development programs — architect and implement organization-wide, incorporating learning strategies and performance benchmarks that build sustained institutional capacity.Interdisciplinary research collaborations — initiate and govern across academic institutions, government agencies, and private sector partners, establishing data-sharing agreements and co-authorship frameworks.Ethics, integrity, and scientific rigor standards — model and institutionalize across all research activities, reviewing protocols and publications to ensure compliance with professional and regulatory requirements.Grant applications and large-scale funding proposals — lead the development of, authoring methodology and capacity sections that secure multi-year resources for the research enterprise.Organizational knowledge management systems — design and steward, ensuring that institutional expertise in data analytics, database management, and research methods is documented, accessible, and continuously improved.
Also known as
28 alternate job titles map to this occupation.
Bilingual Research InterviewerClinical Research AssistantData AnalystEconomic Research AssistantEconomist Research AssistantGraduate AssistantGraduate Research AssistantHistorian Research AssistantLaboratory AssistantMarket Research InterviewerPolitical Affairs InternPolitical Science Research AssistantPostdoctoral Associate (Postdoc Associate)Postdoctoral Fellow (Postdoc Fellow)Postdoctoral Research AssociatePostdoctoral Scholar (Postdoc Scholar)Psychologist Research AssistantResearch AideResearch AssistantResearch AssociateResearch Data AnalystResearch InterviewerResearch ScientistResearch TechnicianSocial Research AssistantSocial Science Research Assistant (Social Science RA)Sociology Research AssistantUX Research Assistant (User Experience Research Assistant)