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Social Science Research Assistants

SOC 19-4061.00Job Zone 4 · Considerable Preparationv.26.05

Context coveredThis framework covers social science research environments — including universities, policy institutes, and government agencies — where research assistants design data systems, conduct statistical analyses, ensure data quality, and contribute to scholarly and policy-relevant research outputs.

Sources:O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.SkillsCrosswalkSkillsCrosswalk — O*NET enrichment + adjacency index. Opens in new tab.
Emerging
Entry / Apprentice
  1. Data entry tasks — execute accurately and consistently under direct supervision in a structured research project environment.
  2. Existing database records — verify for accuracy and flag apparent errors for review by a senior researcher in a university or policy research setting.
  3. Statistical software packages — operate using provided scripts to run basic descriptive analyses on cleaned social science datasets.
  4. Research results — compile into draft summary tables and graphs following established templates under close guidance from project leadership.
  5. Project-related manuscripts and presentations — gather source materials and format reference sections in compliance with style guidelines specified by supervising researchers.
  6. Structured data files — import, sort, and filter using spreadsheet software to support ongoing research project tasks.
  7. Research protocols and procedural documentation — read and apply to assigned tasks, seeking clarification when ambiguities arise in a supervised team context.
  8. Geographic information system tools — use at a basic level to locate and retrieve spatial datasets relevant to an assigned social science study.
  9. Team meetings and research briefings — participate in attentively, taking notes and summarizing key points to support project documentation.
  10. Quality control checklists — apply to completed data entry batches, identifying discrepancies and escalating unresolved issues to a supervising researcher.
Developing
Mid-level / Established
  1. 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.
  2. 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.
  3. Database tables and relational structures — prepare, manipulate, and maintain to support longitudinal or multi-wave research projects with reduced oversight.
  4. 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.
  5. Research quality control procedures — implement systematically across assigned project phases, documenting deviations and recommended corrective actions.
  6. Manuscript drafts and conference presentations — contribute substantive sections to, incorporating correctly cited findings and coordinating revisions with co-authors.
  7. Analytical or scientific software — configure and troubleshoot in routine research computing environments, resolving common errors without escalation.
  8. Incoming datasets from multiple sources — assess for validity and consistency, applying established criteria to determine fitness for analysis in a multi-site study.
  9. Research team members and external stakeholders — communicate findings clearly in both written and oral formats during project status updates and departmental meetings.
  10. Data governance and file management conventions — apply consistently across shared project drives and database systems to ensure reproducibility and regulatory compliance.
Proficient
Senior / Expert IC
  1. 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.
  2. Purpose-built analytical programs — develop and document using object-oriented or scripting languages to handle non-routine data transformations and statistical modeling tasks.
  3. Large-scale relational databases — architect, optimize, and manage end-to-end across multi-year research projects, ensuring data integrity and accessibility for interdisciplinary teams.
  4. Comprehensive research quality control frameworks — develop and enforce across all project phases, diagnosing systemic data issues and implementing validated corrective procedures.
  5. Peer-reviewed manuscripts and technical reports — lead the drafting and revision of, synthesizing quantitative findings with contextual interpretation suitable for academic and policy audiences.
  6. Ambiguous or conflicting datasets — evaluate critically using inductive and deductive reasoning to resolve analytical challenges without supervisory input in fast-paced research contexts.
  7. Geographic information system analyses — conduct independently to integrate spatial variables into social science research designs and enrich multivariate models.
  8. Research presentations — deliver authoritatively to diverse audiences including academic conferences, funding agencies, and government clients, defending methodological choices under scrutiny.
  9. Junior research staff — mentor in statistical methods, software use, and scientific writing, providing structured feedback that accelerates professional development.
  10. 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
Lead / Principal / Executive
  1. Organizational research strategy and methodology standards — define and champion across a division or institute, aligning social science projects with institutional priorities and funder requirements.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Research staff competency development programs — architect and implement organization-wide, incorporating learning strategies and performance benchmarks that build sustained institutional capacity.
  7. Interdisciplinary research collaborations — initiate and govern across academic institutions, government agencies, and private sector partners, establishing data-sharing agreements and co-authorship frameworks.
  8. 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.
  9. 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.
  10. 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.

AI-at-Work Competency Framework

Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.
Subscriber feature

Authoritative source data identified for 998 occupations

How a worker at each mastery level uses, directs, and evaluates AI tools in this occupation. Each statement cites its evidence inline; click a citation chip to verify the source.

Emerging
  1. AI-assisted literature synthesis — uses an LLM to summarize batches of research articles and extract key findings, then manually cross-checks summaries against original sources before incorporating them into project notes Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  2. Basic data-entry delegation — pastes raw survey responses or tabular data into an AI assistant to flag formatting inconsistencies, then reviews every flagged cell against the source document before updating the database Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
Developing
  1. Statistical code scaffolding — prompts an AI coding assistant to generate starter scripts for descriptive analyses in R or Python, then audits the logic, variable names, and output against the study codebook before executing Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  2. Report-draft acceleration — hands off structured bullet points of research findings to an AI writing tool to produce a first draft of fact sheets or summaries, then rewrites for accuracy, citation integrity, and disciplinary conventions Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  3. Automated data-cleaning pipeline — directs an AI assistant to write data-cleaning routines for deduplication and outlier flagging, then validates each transformation step against raw data and study protocols Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Proficient
  1. Multivariate analysis orchestration — instructs an AI assistant through multi-step regression or factor-analysis workflows, specifying model parameters and interpretation constraints, while retaining authorship of all inferential decisions and manuscript reporting Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Graph and table production — delegates initial chart generation and table formatting to an AI tool using exported data frames, then audits every axis label, unit, and significance notation for compliance with publication standards Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Iterative manuscript co-authoring — cycles structured feedback to an AI writing assistant across multiple revision passes for methods and results sections, maintaining full responsibility for theoretical framing and empirical claims Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  4. Presentation narrative construction — uses an AI assistant to convert dense statistical summaries into plain-language talking points for stakeholder presentations, then edits every claim for accuracy and contextual appropriateness Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
Advanced
  1. End-to-end research workflow coordination — sequences AI agents across literature retrieval, codebook generation, cleaning scripts, and draft reporting within a single project pipeline, setting explicit human checkpoints at each handoff to preserve scientific rigor Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Critical evaluation of AI-generated analyses — benchmarks AI-produced statistical outputs against manually computed reference values and peer-reviewed methodological standards, identifying systematic biases or hallucinated coefficients before results enter any publication Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Custom prompt-engineering for domain-specific tasks — designs reusable, structured prompts tailored to recurring social-science tasks such as codebook validation, inter-rater reliability checks, and qualitative theme extraction, reducing per-task setup time across the research team Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Evidence pack
AEI usage
Task observations: 3501
Augment share: 95%
Time saved: 83.9%
AI autonomy: 3.07
SAFI positioning
Top skill: Reading Comprehension
Score: 45.5 / 100
Quadrant: Q2_ai_augmented
precision: exact
WEF cluster
Data Science and Analysis
data_science_and_analysis
Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.

Pathsmith Durable Skills Framework

Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Subscriber feature

Ten durable-skill domains mapped to four proficiency/role levels for each occupation. Each statement is aligned to the Pathsmith taxonomy, derived from trusted grounding data and mapped to occupation-specific O*NET tasks and skills.

1Communication11 statements
Emerging
  1. Research summary drafts — produces written summaries of findings using basic academic conventions within structured templates Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Data table narration — describes the contents of prepared tables and graphs in plain language for internal review O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Manuscript contribution — drafts assigned sections of research manuscripts and project reports following established style guidelines Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stakeholder briefing — presents preliminary research results to project teams using prepared slides and fact sheets Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Data clarification exchange — communicates database discrepancies and correction rationale to supervising researchers in written documentation O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Research findings communication — prepares polished tables, graphs, and written reports that synthesize statistical results for diverse audiences including non-specialist stakeholders Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Presentation delivery — delivers project-related presentations integrating multivariate analysis outputs with clear verbal explanation of methodology and conclusions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Cross-team correspondence — authors precise internal memos and external communications regarding data collection protocols and quality control procedures Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Publication-ready reporting — produces independently authored manuscripts and technical reports that meet peer-review standards, translating complex statistical analyses into accessible narratives Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Audience-adaptive dissemination — tailors research communication strategies across academic, policy, and public audiences, selecting appropriate formats and levels of technical detail Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Mentored communication coaching — guides junior assistants in developing clear research writing and presentation skills, providing structured feedback on drafts and delivery Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
2Leadership7 statements
Emerging
  1. Task self-direction — completes assigned data entry and cleaning tasks with minimal supervision, demonstrating readiness to take ownership of discrete project components Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Protocol stewardship — takes initiative in documenting and communicating quality control procedures to ensure consistent data handling across the research team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Peer coordination — organizes and prioritizes shared data management tasks among research assistants to meet project deadlines Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Project component ownership — leads defined phases of data collection, database management, or statistical analysis, coordinating activities and reporting progress to principal investigators Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Quality control leadership — designs and implements research quality control procedures, holding team members accountable to established data integrity standards Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Research team mentorship — guides newer research assistants through complex database management and statistical programming tasks, building team capability across the project lifecycle Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Initiative-driven methodology improvement — identifies gaps in existing research protocols and independently proposes and pilots enhanced procedures, influencing project-level decision-making Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
3Metacognition7 statements
Emerging
  1. Error self-detection — recognizes personal data entry mistakes during review cycles and applies corrective action before submitting work for validation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Learning strategy calibration — identifies gaps in statistical software proficiency and independently seeks training resources to address them before project demands arise Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Task complexity assessment — evaluates the cognitive demands of a new analytical assignment and allocates preparation time accordingly Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Analytical approach reflection — monitors the effectiveness of chosen statistical methods during data analysis, adjusting techniques when initial approaches yield inconclusive or suspect results Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Workflow self-regulation — plans, executes, and evaluates personal research workflows across concurrent database management and report preparation tasks to maintain accuracy and timeliness Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Methodological self-critique — critically evaluates own analytical decisions across a completed project, documenting lessons learned and revising standard operating procedures for future research cycles Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Metacognitive modeling — articulates personal problem-solving strategies to junior team members during complex data tasks, making expert thinking visible to support others' development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
4Critical Thinking9 statements
Emerging
  1. Data validity screening — identifies obvious data entry errors and inconsistencies in databases by applying established validation rules Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Source evaluation — assesses the relevance and credibility of reference materials when supporting literature review tasks Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Statistical output interpretation — examines descriptive statistics outputs to identify patterns, outliers, and anomalies that warrant further investigation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Assumption identification — recognizes implicit assumptions embedded in research designs or data collection instruments and flags them for supervisor review Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Multivariate analysis evaluation — performs and critically interprets multivariate statistical analyses, evaluating whether results are consistent with theoretical expectations and flagging confounds Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Quality control reasoning — develops and applies logical frameworks for identifying systematic versus random data errors, distinguishing between data quality issues requiring procedural versus technical remediation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Evidence-based judgment — synthesizes findings from multiple data sources and prior literature to form evidence-grounded conclusions that inform project reports Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Methodological critique — evaluates the logical validity and statistical soundness of entire research designs, identifying threats to internal and external validity and recommending targeted remediation strategies Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-study synthesis — integrates findings across multiple datasets and research projects to identify convergent evidence and unresolved contradictions, contributing to higher-order analytical conclusions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
5Collaboration7 statements
Emerging
  1. Team data contribution — completes assigned data entry and file preparation tasks that feed directly into colleagues' analytical workflows without creating downstream errors Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Cross-role coordination — collaborates with project managers, principal investigators, and data analysts to align database structures and reporting formats to shared project goals Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Feedback integration — incorporates supervisor and peer feedback on drafted reports and data outputs, revising work to meet collective quality standards Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Interdisciplinary team participation — contributes statistical analysis expertise and database management skills within interdisciplinary research teams, navigating differing methodological perspectives constructively Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Shared protocol development — collaborates with team members to co-develop and document standardized data collection and quality control procedures that ensure consistent project-wide execution Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Team capability building — proactively shares statistical programming solutions and database management techniques with colleagues, reducing bottlenecks and elevating overall team research competence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Conflict navigation in research teams — mediates methodological disagreements among team members by facilitating evidence-based discussion and helping the group reach consensus on analytical approaches Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
6Character7 statements
Emerging
  1. Data handling integrity — enters and stores research data accurately and honestly, avoiding falsification or selective omission even under time pressure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Deadline accountability — takes personal responsibility for timely completion of data cleaning, report preparation, and project support tasks, communicating proactively when obstacles arise Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Confidentiality stewardship — handles sensitive participant data and proprietary research materials with appropriate discretion and adherence to project confidentiality protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Research ethics adherence — applies institutional review board guidelines, data use agreements, and professional research ethics standards consistently across all data collection and reporting activities Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Professional accountability — acknowledges and corrects own analytical or documentation errors transparently, maintaining the trust of principal investigators and project stakeholders Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Ethical culture contribution — models and reinforces research integrity norms within the team, raising concerns about questionable data practices through appropriate channels and contributing to a culture of accountability Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Transparent reporting standards — advocates for and implements rigorous, transparent reporting of both findings and limitations in research outputs, ensuring professional honesty even when results are inconclusive or unfavorable Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
7Creativity7 statements
Emerging
  1. Data visualization experimentation — explores alternative chart types and formatting options when preparing graphs and tables to improve clarity of research summaries Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Custom script development — designs original statistical programs or data-cleaning scripts that automate repetitive analytical tasks beyond standard software defaults Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Novel data organization — devises innovative database structures or coding schemes that better capture the nuances of collected research data Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Adaptive problem-solving in analysis — generates creative analytical approaches when standard statistical methods are insufficient for the complexity or structure of a given dataset Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Report design innovation — develops new formats for fact sheets and research summaries that more effectively communicate complex findings to target audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Methodological innovation — conceives and pilots novel data collection instruments, coding frameworks, or analytical pipelines that expand the research team's capacity to address complex social science questions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-disciplinary synthesis — draws on tools, methods, or conceptual frameworks from adjacent disciplines to generate innovative solutions to research design or data analysis challenges Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
8Growth Mindset7 statements
Emerging
  1. Feedback acceptance — receives supervisor critique on data outputs and drafted reports with openness, applying corrections without defensiveness Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Skill stretch pursuit — voluntarily undertakes training in unfamiliar statistical software or programming languages when project needs expand beyond current expertise Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Error reframing — treats data validation errors and statistical anomalies as learning opportunities, using them to deepen understanding of dataset structure and research methodology Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Challenge embracement — accepts assignment to complex multivariate analysis or unfamiliar research domains as opportunities for professional growth rather than sources of avoidance Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Iterative improvement practice — systematically revises data management and analytical approaches based on project feedback and results, demonstrating continuous refinement of research craft Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Resilient methodology adaptation — when initial analytical strategies yield invalid or unusable results, reconstructs the approach systematically and applies lessons learned to improve subsequent project phases Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Growth culture modeling — actively encourages junior research assistants to view technical failures and data challenges as developmental experiences, normalizing iteration as part of rigorous research practice Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
9Mindfulness7 statements
Emerging
  1. Focused data entry — maintains sustained attention during repetitive data entry tasks, minimizing transcription errors through deliberate concentration rather than automated inattention Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Stress-aware pacing — recognizes signs of cognitive fatigue during extended database management sessions and applies intentional breaks to preserve data accuracy and analytical quality Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Emotional regulation in feedback — receives critical review of research work with composure, processing feedback constructively rather than reactively Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Intentional analytical presence — approaches statistical analysis tasks with deliberate attention to methodological choices, avoiding mechanical or rushed decision-making that could compromise research validity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Deadline pressure management — maintains methodical, accurate research workflows under tight project timelines by regulating stress responses and prioritizing quality over speed Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Team climate attunement — remains attuned to interpersonal dynamics and stress levels within the research team during high-pressure project phases, responding with stabilizing communication and support Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Reflective practice integration — builds structured self-reflection routines into project cycles to assess decision-making quality and maintain intentionality across all research support activities Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
10Fortitude7 statements
Emerging
  1. Task persistence — completes time-consuming data cleaning and verification tasks without abandoning effort when progress is slow or errors are numerous Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Ambiguity tolerance — continues productive work on data analysis when research questions are underspecified or datasets are incomplete, taking reasonable steps forward pending clarification Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Setback recovery — recovers constructively from corrupted databases or failed data collection instruments, restoring workflows and resuming project timelines with minimal disruption Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Sustained high-volume execution — maintains accuracy and professional standards across extended periods of intensive database management and statistical analysis under project deadline pressure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Iterative failure resilience — persists through multiple cycles of failed data validation, rejected statistical models, or inconclusive results, adjusting approaches methodically rather than disengaging Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Long-cycle project endurance — sustains high-quality research contributions across multi-year projects where milestones are distant, intermediate results are ambiguous, and motivation requires active maintenance Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Courageous quality advocacy — raises concerns about data integrity or methodological shortcuts with senior researchers even when doing so risks social friction, prioritizing research rigor over interpersonal ease Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
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Source anchors that ground each statement

Related titles
Bilingual Research Interviewer · Clinical Research Assistant · Data Analyst · Economic Research Assistant · Economist Research Assistant · Graduate Assistant · Graduate Research Assistant · Historian Research Assistant · Laboratory Assistant · Market Research Interviewer · Political Affairs Intern · Political Science Research Assistant
RAPIDS apprenticeships
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O*NET skills
Reading ComprehensionCritical ThinkingActive ListeningWritingSpeakingComplex Problem SolvingScienceJudgment and Decision MakingMathematicsActive LearningLearning StrategiesSystems Analysis
Knowledge domains
English LanguageComputers and ElectronicsAdministrativeMathematicsCustomer and Personal Service
Abilities
Oral ComprehensionOral ExpressionWritten ComprehensionWritten ExpressionInformation OrderingDeductive ReasoningNear VisionInductive ReasoningSpeech ClarityProblem Sensitivity
Work styles
Attention to DetailDependabilityIntellectual CuriosityIntegrityAchievement OrientationPerseverance
Technology
Graphics or photo imaging softwareDesktop publishing softwareComputer based training softwareObject or component oriented development softwareData base user interface and query softwareGeographic information systemEnterprise application integration softwareAnalytical or scientific softwareWeb platform development softwareSpreadsheet software
Tasks · seed anchors for statements
  1. Design and create special programs for tasks such as statistical analysis and data entry and cleaning.
  2. Provide assistance with the preparation of project-related reports, manuscripts, and presentations.
  3. Prepare tables, graphs, fact sheets, and written reports summarizing research results.
  4. Perform descriptive and multivariate statistical analyses of data, using computer software.
  5. Verify the accuracy and validity of data entered in databases, correcting any errors.
  6. Develop and implement research quality control procedures.
  7. Prepare, manipulate, and manage extensive databases.
  8. Perform data entry and other clerical work as required for project completion.
CIP education codes
30.170130.460142.010142.270844.050144.050244.050344.050445.010145.010345.060145.060245.060345.060445.100145.100445.110145.1102

Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith Durable Skills Framework. © 2026 EBSCOed.