◈ EMPLOYMENT · SCIENCE · 19-4061.00
Social Science Research Assistants
O*NET 30.3 · BLS OEWS May 2025 · Boise Standard Employment Graph
◈ EMPLOYMENT · SCIENCE 19-4061.00 ◉ HIGH CONFIDENCE Built 2026-06-02
Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · SOC 2018 (Public Domain) · Wikipedia (CC BY-SA 4.0 where matched)
Atomic Answer — Primary AI Citation Target
Social Science Research Assistants
Social Science Research Assistants support academic and applied research by managing data, conducting literature reviews, and preparing research findings for publication. They serve as the operational backbone of social science research teams, handling database management, quality control, and documentation across psychology, economics, sociology, and other social science disciplines. These professionals bridge the gap between research concepts and empirical implementation, ensuring data integrity and supporting the research process from design through dissemination.
30,640
National Employment
$61,990
Median Annual Wage
JZ 4
Job Zone
Educational Services
Primary Industry
Occupation Graph — Declared + Reasoned Edges
onet declared
Data Scientists
Primary-Short
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Clinical Data Managers
Primary-Short
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Survey Researchers
Primary-Short
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Clinical Research Coordinators
Primary-Short
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Statisticians
Primary-Short
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Statistical Assistants
Primary-Long
skill overlap
Data Scientists
Both roles share high importance ratings for Working with Computers, Processing Information, and Analyzing Data, with overlapping technical skills in statistical software and database management.
career pathway
Survey Researchers
Natural progression path given shared research methodology knowledge and the emphasis on data collection and analysis in social science contexts.
task similarity
Statistical Assistants
Both roles involve extensive data management, quality control procedures, and preparing statistical reports, with similar technical skill requirements.
riasec cluster
Statisticians
Both roles emphasize investigative and conventional personality types, requiring analytical thinking and systematic data management skills.
§ Feeder Roles
Research Intern
Lab Technician
Teaching Assistant
§ Destinations
Data Scientist
Survey Researcher
Research Coordinator
§ RIASEC Peers
Survey Researchers
Statistical Assistants
Clinical Research Coordinators
Role Intelligence — Day in the Life · Who Thrives · Automation
Day in the Life

A typical day involves extensive computer work, spending significant time processing information and analyzing data using software like IBM SPSS Statistics or ESRI ArcGIS. They verify the accuracy of data entered in databases, correcting errors and implementing quality control procedures to maintain research integrity. Much of their time is devoted to preparing tables, graphs, and written reports summarizing research results, requiring strong attention to detail and clear communication skills. They conduct internet-based and library research to gather background information, track research participants for follow-up tasks, and code data in preparation for computer analysis. Regular communication with supervisors and peers involves presenting findings, discussing methodology, and coordinating project timelines.

Who Thrives

Individuals who excel in this role typically have a strong investigative personality combined with conventional organizational skills, as evidenced by the high I and C scores in the RIASEC profile. They possess exceptional written and oral comprehension abilities, with the capacity to process complex information and translate it into clear, accessible formats. Success requires intellectual curiosity paired with dependability and meticulous attention to detail, as the role demands both creative problem-solving and systematic data management. Those who thrive are comfortable working independently while maintaining regular communication with research teams, and they find satisfaction in supporting the advancement of scientific knowledge through careful, methodical work.

Automation Outlook

The role shows moderate resilience to automation due to the high importance of activities like Processing Information, Analyzing Data, and Interpreting Information for Others, which require human judgment and contextual understanding. While routine data entry tasks may become more automated, the critical thinking required for quality control procedures and the nuanced interpretation of social science data provide protection against displacement. The emerging task of grant proposal writing suggests the role is evolving toward higher-value activities that require human creativity and strategic thinking.

Emerging Tasks
New   Write grant proposals. 08/2019
Market Intelligence — BLS OEWS May 2025
The field employs 30,640 workers nationally with a median annual wage of $61,990 according to BLS OEWS May 2025, ranging from $38,090 to $102,070 for the 10th to 90th percentiles. Geographic variation is moderate with a 2.60x ratio between highest-paying Oklahoma ($69,090) and lowest-paying Nevada ($26,560), suggesting regional differences in research funding and cost of living. The largest employment sectors are Educational Services (14,160 workers) and Professional, Scientific, and Technical Services (10,930 workers), reflecting the concentration in universities and research institutions. Demand is driven by increasing emphasis on evidence-based policy making and the growing importance of data analysis across social science disciplines.
$38,090
10th
$48,620
25th
$61,990
Median
$77,760
75th
$102,070
90th
Highest Paying State
Oklahoma
$69,090 median
Geographic Dispersion
2.601x
highest / lowest median
Educational Services 14,160 emp $63,280
Professional, Scientific, and Technical Servi 10,930 emp $63,800
Health Care and Social Assistance 2,360 emp $55,610
Other Services (except Public Administration) 1,280 emp $60,120
Federal, State, and Local Government, excludi 970 emp $52,490
Source: BLS Occupational Employment and Wage Statistics May 2025 ↗ · Public Domain · US Government
Skills + Knowledge — O*NET 30.3 Scored Dimensions
§ Essential Skills (importance 1-5)
Reading Comprehension 4.0
Active Listening 3.8
Writing 3.8
Critical Thinking 3.8
Speaking 3.4
Science 3.2
Mathematics 3.1
Active Learning 3.1
Learning Strategies 3.0
Monitoring 2.9
§ Knowledge Domains (importance 1-5)
English Language 4.2
Computers and Electronics 3.5
Administrative 3.2
Mathematics 3.1
Customer and Personal Service 3.0
Education and Training 2.9
Psychology 2.5
Administration and Management 2.5
Law and Government 2.2
Communications and Media 2.1
Source: O*NET 30.3 Database ↗ · CC BY 4.0
RIASEC Interest Profile + Personality Fit — O*NET 30.3
R
Realistic
2.38
I
Investigative
6.08
TOP FIT
A
Artistic
1.89
S
Social
2.67
TOP FIT
E
Enterprising
2.27
C
Conventional
5.93
TOP FIT
§ Who Thrives
Individuals who excel in this role typically have a strong investigative personality combined with conventional organizational skills, as evidenced by the high I and C scores in the RIASEC profile. They possess exceptional written and oral comprehension abilities, with the capacity to process complex information and translate it into clear, accessible formats. Success requires intellectual curiosity paired with dependability and meticulous attention to detail, as the role demands both creative problem-solving and systematic data management. Those who thrive are comfortable working independently while maintaining regular communication with research teams, and they find satisfaction in supporting the advancement of scientific knowledge through careful, methodical work.
Source: O*NET 30.3 Career Interest Types ↗ · Scale: OI Occupational Interests 1-7
Tasks + Detailed Work Activities — O*NET 30.3
Prepare tables, graphs, fact sheets, and written reports summarizing research results.
Core 71% of incumbents
Prepare scientific or technical reports
Verify the accuracy and validity of data entered in databases, correcting any errors.
Core 71% of incumbents
Verify accuracy of data.Check data for recording errors.
Develop and implement research quality control procedures.
Core 71% of incumbents
Plan social sciences research.
Prepare, manipulate, and manage extensive databases.
Core 71% of incumbents
Develop technical or scientific database
Perform data entry and other clerical work as required for project completion.
Core 71% of incumbents
Record research or operational data.
Conduct internet-based and library research.
Core 71% of incumbents
Collect archival data.
Present research findings to groups of people.
Core 71% of incumbents
Prepare scientific or technical reports
Track research participants, and perform any necessary follow-up tasks.
Supplemental 71% of incumbents
Record research or operational data.
Edit and submit protocols and other required research documentation.
Supplemental 71% of incumbents
Prepare information or documentation rel
Code data in preparation for computer entry.
Supplemental 71% of incumbents
Prepare data for analysis.Code data or other information.
Source: O*NET 30.3 Task Statements + DWA Mappings ↗ · Incumbent-reported · CC BY 4.0
◈ Software Tools — O*NET 30.3 · Hot Technology + In Demand Flagged
Adobe Illustrator
Graphics or photo imaging software
HOT
Adobe InDesign
Desktop publishing software
HOT
Appletree
Computer based training software
C++
Object or component oriented development
HOT
Database software
Data base user interface and query softw
ESRI ArcGIS software
Geographic information system
HOT
Extensible markup language XML
Enterprise application integration softw
HOT
Graphics software
Graphics or photo imaging software
IBM SPSS Statistics
Analytical or scientific software
HOT
JavaScript
Web platform development software
HOT
Microsoft Access
Data base user interface and query softw
HOT
Microsoft Excel
Spreadsheet software
HOTIN DEMAND
Microsoft Office software
Office suite software
HOTIN DEMAND
Microsoft Outlook
Electronic mail software
HOT
Microsoft PowerPoint
Presentation software
HOTIN DEMAND
Microsoft SQL Server
Data base user interface and query softw
HOT
Microsoft Visual Basic
Development environment software
HOT
Microsoft Word
Word processing software
HOT
Source: O*NET 30.3 Software Skills ↗ · CC BY 4.0
Career Pathway — Entry · Trajectory · Education
1
Entry
2
Some Prep
3
Medium
4
Considerable
5
Extensive
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in acco
Most positions require a bachelor's degree (52.7% of workers), with many employers preferring candidates with master's degrees (36.7%) in relevant social science fields. Strong computer skills are essential, particularly proficiency in statistical software, database management, and data visualization tools. Entry-level candidates often gain experience through graduate assistantships, internships, or volunteer research positions that provide hands-on training in research methodology and data analysis. The Job Zone 4 classification indicates considerable preparation is needed, typically requiring 2-4 years of relevant education and experience.
Social Science Research Assistants often advance to roles as Survey Researchers, Data Scientists, or Clinical Research Coordinators, leveraging their experience in data management and research methodology. Many pursue graduate education to become independent researchers or statisticians, with the analytical and technical skills serving as a strong foundation for advanced research positions. The role serves as an excellent stepping stone into academic careers, with some progressing to teaching assistant positions or eventually faculty roles. Others transition into applied research roles in government agencies, think tanks, or private sector research organizations.
Bachelor's Degree 52.7%
Master's Degree 36.7%
Some College Courses 8.6%
Post-Baccalaureate Certificate - awarded for 1.6%
Doctoral Degree 0.4%
Source: O*NET 30.3 Education + Job Zones ↗ · CC BY 4.0
Live Job Feed — Active Postings
Live Social Science Research Assistants job postings populate here as the crawler feeds data. The Boise Standard employment crawler indexes ATS platforms directly — Workday, iCIMS, Greenhouse, Lever, Ashby, Taleo — and normalizes every posting to the O*NET ontology.

Postings appear within hours of going live on the source ATS. No aggregator lag. Direct from source.
Browse Science Feed → Submit Open Position →
◈ SEMANTIC MANIFOLD — MULTI-SOURCE WORD FREQUENCY FINGERPRINT
Top 40 terms across five provenance layers: O*NET Tasks · O*NET Dimensions · DWAs · Wikipedia · Inference · Stop words removed · Deterministic · Constitutional Law III
research tendency others equipment social control principles science scientific includes technical resources management objects procedures analysis ideas activities quality understanding
§ Full Frequency Ranking — 40 terms
TERM COUNT FREQ BAR SOURCE ATTRIBUTION
research 49 0.0172
inference 49% onet tasks 22%
tendency 42 0.0148
onet dimensi 100%
others 40 0.0141
onet dimensi 95% inference 5%
equipment 23 0.0081
onet dimensi 100%
social 21 0.0074
inference 33% wikipedia 29%
control 16 0.0056
onet dimensi 75% inference 19%
principles 16 0.0056
onet dimensi 100%
science 15 0.0053
inference 47% wikipedia 40%
scientific 13 0.0046
dwas 62% wikipedia 15%
includes 13 0.0046
onet dimensi 92% wikipedia 8%
technical 13 0.0046
dwas 62% onet dimensi 23%
resources 12 0.0042
onet dimensi 75% dwas 17%
management 12 0.0042
onet dimensi 58% inference 42%
objects 12 0.0042
onet dimensi 100%
procedures 11 0.0039
onet dimensi 73% inference 18%
analysis 11 0.0039
onet dimensi 36% inference 27%
ideas 11 0.0039
onet dimensi 100%
activities 11 0.0039
onet dimensi 82% inference 18%
quality 10 0.0035
onet dimensi 60% inference 30%
understanding 10 0.0035
onet dimensi 60% wikipedia 30%
human 10 0.0035
onet dimensi 70% inference 20%
techniques 10 0.0035
onet dimensi 100%
materials 10 0.0035
onet dimensi 100%
body 10 0.0035
onet dimensi 100%
written 9 0.0032
onet dimensi 67% inference 22%
needs 9 0.0032
onet dimensi 89% onet tasks 11%
design 9 0.0032
onet dimensi 67% onet tasks 22%
software 9 0.0032
onet dimensi 33% wikipedia 22%
understand 9 0.0032
onet dimensi 78% wikipedia 22%
problems 9 0.0032
onet dimensi 100%
BOISE STANDARD — FINE-TUNING RECORD · Social Science Research Assistants
19-4061.00 · 8 QA pairs · jsonl · O*NET 30.3 + BLS OEWS
How many Social Science Research Assistants are currently employed in the United States?
According to BLS OEWS May 2025, there are 30,640 Social Science Research Assistants employed nationally in the United States.
factual BLS OEWS May 2025
What is the median annual wage for Social Science Research Assistants?
According to BLS OEWS May 2025, the median annual wage is $61,990, with the 10th percentile at $38,090 and 90th percentile at $102,070.
factual BLS OEWS May 2025
Which state offers the highest median wage for Social Science Research Assistants?
According to BLS OEWS May 2025 wage data, Oklahoma offers the highest median wage at $69,090 for Social Science Research Assistants.
market_intel BLS OEWS May 2025
What industries employ the most Social Science Research Assistants?
According to BLS OEWS May 2025, the top employing industries are Educational Services, Professional Scientific and Technical Services, and Health Care and Social Assistance.
market_intel BLS OEWS May 2025
What educational qualifications should I pursue to become a Social Science Research Assistant?
According to the occupation profile, 52.7% of Social Science Research Assistants hold a Bachelor's degree, while 36.7% possess a Master's degree. A bachelor's degree in a social science field is standard entry-level preparation.
career_advice Education distribution analysis
Which software tools are most critical to develop for this career path?
IBM SPSS Statistics and ESRI ArcGIS software are priority tools for Social Science Research Assistants, reflecting the field's emphasis on data analysis and geographic information systems work (work activity score: 4.7 for working with computers).
career_advice Software tool analysisWork activities data
How does the median wage for Social Science Research Assistants compare to Data Scientists?
Social Science Research Assistants earn a median of $61,990, positioning them as entry-to-mid level compared to Data Scientists (primary-short related occupation), who typically progress to higher compensation as they advance their statistical and analytical expertise.
comparative BLS OEWS May 2025Related occupations structure
What personality traits predict success as a Social Science Research Assistant?
The RIASEC profile shows Investigative (6.08) and Conventional (5.93) traits are dominant, meaning successful assistants combine analytical curiosity with organizational precision—traits reflected in top work styles: Dependability, Attention to Detail, and Intellectual Curiosity.
comparative RIASEC personality assessmentWork styles data
◈ Boise Standard Employment Graph · 19-4061.00 · minted 2026-06-02T16:18:30Z · Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · BS: https://boisestandard.org/employment/19-4061-social_science_research_assistants
Boise Standard — Employment Intelligence
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Boise Standard · The Standard of Information · boisestandard.org ↗
Provenance Window — Full Source Record · 19-4061.00 · Social Science Research Assistants 7 source blocks · click to expand
O*NET Identity onetonline.org ↗ · O*NET 30.3 · CC BY 4.0 · retrieved 2026-06-02
[('onet_soc_code', '19-4061.00'), ('soc_code', '19-4061'), ('title', 'Social Science Research Assistants'), ('vertical', 'science'), ('job_zone', '4'), ('job_zone_name', 'Job Zone Four: Considerable Preparation Needed'), ('job_zone_exp', 'A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an a'), ('description', '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.'), ('bundle_version', '1'), ('built_at', '2026-06-02T16:18:30Z')]
O*NET Task Statements (22 tasks, 1 emerging) O*NET 30.3 Task Statements · Incumbent-reported · CC BY 4.0
[Core] [71% incumbents] Prepare tables, graphs, fact sheets, and written reports summarizing research results.
  DWAs: Prepare scientific or technical reports or presentations.

[Core] [71% incumbents] Verify the accuracy and validity of data entered in databases, correcting any errors.
  DWAs: Verify accuracy of data. | Check data for recording errors.

[Core] [71% incumbents] Develop and implement research quality control procedures.
  DWAs: Plan social sciences research.

[Core] [71% incumbents] Prepare, manipulate, and manage extensive databases.
  DWAs: Develop technical or scientific databases.

[Core] [71% incumbents] Perform data entry and other clerical work as required for project completion.
  DWAs: Record research or operational data.

[Core] [71% incumbents] Conduct internet-based and library research.
  DWAs: Collect archival data.

[Core] [71% incumbents] Present research findings to groups of people.
  DWAs: Prepare scientific or technical reports or presentations.

[Supplemental] [71% incumbents] Track research participants, and perform any necessary follow-up tasks.
  DWAs: Record research or operational data.

[Supplemental] [71% incumbents] Edit and submit protocols and other required research documentation.
  DWAs: Prepare information or documentation related to legal or regulatory matters.

[Supplemental] [71% incumbents] Code data in preparation for computer entry.
  DWAs: Prepare data for analysis. | Code data or other information.

[Supplemental] [71% incumbents] Track laboratory supplies and expenses such as participant reimbursement.
  DWAs: Manage scientific or technical project resources.

[Supplemental] [71% incumbents] Perform needs assessments or consult with clients to determine the types of research and information required.
  DWAs: Confer with clients to exchange information.

[Supplemental] [71% incumbents] Allocate and manage laboratory space and resources.
  DWAs: Manage scientific or technical project resources.

[Core] [70% incumbents] Design and create special programs for tasks such as statistical analysis and data entry and cleaning.
  DWAs: Develop software or applications for scientific or technical use.

[Core] [70% incumbents] Perform descriptive and multivariate statistical analyses of data, using computer software.
  DWAs: Conduct research on social issues.

[Supplemental] [70% incumbents] Obtain informed consent of research subjects or their guardians.
  DWAs: Collect information from people through observation, interviews, or surveys.

[Supplemental] [70% incumbents] Administer standardized tests to research subjects, or interview them to collect research data.
  DWAs: Collect information from people through observation, interviews, or surveys. | Administer standardized physical or psychological tests.

[Supplemental] [70% incumbents] Recruit and schedule research participants.
  DWAs: Schedule appointments. | Recruit personnel.

[Supplemental] [70% incumbents] Screen potential subjects to determine their suitability as study participants.
  DWAs: Conduct eligibility or selection interviews.

[Supplemental] [70% incumbents] Provide assistance in the design of survey instruments such as questionnaires.
  DWAs: Develop methods of social or economic research.

[Supplemental] [70% incumbents] Supervise the work of survey interviewers.
  DWAs: Supervise scientific or technical personnel.

[Core] [69% incumbents] Provide assistance with the preparation of project-related reports, manuscripts, and presentations.
  DWAs: Prepare scientific or technical reports or presentations.

[EMERGING:New] Write grant proposals.
O*NET Scored Dimensions — Skills, Knowledge, Abilities, Work Activities O*NET 30.3 · CC BY 4.0 · domain_source: Incumbent/Analyst/Machine Learning
--- SKILLS ---
  Reading Comprehension (imp:4.00 lvl:4.75) — Understanding written sentences and paragraphs in work-related documents.
  Active Listening (imp:3.75 lvl:4.12) — Giving full attention to what other people are saying, taking time to understand
  Writing (imp:3.75 lvl:3.88) — Communicating effectively in writing as appropriate for the needs of the audienc
  Critical Thinking (imp:3.75 lvl:3.88) — Using logic and reasoning to identify the strengths and weaknesses of alternativ
  Speaking (imp:3.38 lvl:3.75) — Talking to others to convey information effectively.
  Science (imp:3.25 lvl:3.38) — Using scientific rules and methods to solve problems.
  Mathematics (imp:3.12 lvl:3.88) — Using mathematics to solve problems.
  Active Learning (imp:3.12 lvl:3.62) — Understanding the implications of new information for both current and future pr
  Learning Strategies (imp:3.00 lvl:3.12) — Selecting and using training/instructional methods and procedures appropriate fo
  Monitoring (imp:2.88 lvl:3.12) — Monitoring/Assessing performance of yourself, other individuals, or organization

--- KNOWLEDGE ---
  English Language (imp:4.25 lvl:4.71) — Knowledge of the structure and content of the English language including the mea
  Computers and Electronics (imp:3.47 lvl:4.17) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput
  Administrative (imp:3.24 lvl:4.54) — Knowledge of administrative and office procedures and systems such as word proce
  Mathematics (imp:3.09 lvl:4.07) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl
  Customer and Personal Service (imp:3.02 lvl:3.34) — Knowledge of principles and processes for providing customer and personal servic
  Education and Training (imp:2.92 lvl:3.24) — Knowledge of principles and methods for curriculum and training design, teaching
  Psychology (imp:2.53 lvl:2.64) — Knowledge of human behavior and performance; individual differences in ability, 
  Administration and Management (imp:2.47 lvl:2.65) — Knowledge of business and management principles involved in strategic planning, 
  Law and Government (imp:2.16 lvl:1.82) — Knowledge of laws, legal codes, court procedures, precedents, government regulat
  Communications and Media (imp:2.15 lvl:1.74) — Knowledge of media production, communication, and dissemination techniques and m
  Sociology and Anthropology (imp:2.12 lvl:2.59) — Knowledge of group behavior and dynamics, societal trends and influences, human 
  Economics and Accounting (imp:2.10 lvl:2.39) — Knowledge of economic and accounting principles and practices, the financial mar
  Biology (imp:2.02 lvl:1.62) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd
  Personnel and Human Resources (imp:1.92 lvl:1.98) — Knowledge of principles and procedures for personnel recruitment, selection, tra
  Medicine and Dentistry (imp:1.92 lvl:0.89) — Knowledge of the information and techniques needed to diagnose and treat human i
  Therapy and Counseling (imp:1.92 lvl:1.50) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r
  Philosophy and Theology (imp:1.81 lvl:1.70) — Knowledge of different philosophical systems and religions. This includes their 
  Telecommunications (imp:1.78 lvl:1.08) — Knowledge of transmission, broadcasting, switching, control, and operation of te
  Chemistry (imp:1.75 lvl:1.17) — Knowledge of the chemical composition, structure, and properties of substances a
  Public Safety and Security (imp:1.73 lvl:1.40) — Knowledge of relevant equipment, policies, procedures, and strategies to promote
  Foreign Language (imp:1.53) — Knowledge of the structure and content of a foreign (non-English) language inclu
  Design (imp:1.52) — Knowledge of design techniques, tools, and principles involved in production of 
  Sales and Marketing (imp:1.43 lvl:1.49) — Knowledge of principles and methods for showing, promoting, and selling products
  Transportation (imp:1.43 lvl:0.98) — Knowledge of principles and methods for moving people or goods by air, rail, sea
  History and Archeology (imp:1.42 lvl:1.05) — Knowledge of historical events and their causes, indicators, and effects on civi
  Geography (imp:1.41 lvl:1.10) — Knowledge of principles and methods for describing the features of land, sea, an
  Mechanical (imp:1.29) — Knowledge of machines and tools, including their designs, uses, repair, and main
  Physics (imp:1.27) — Knowledge and prediction of physical principles, laws, their interrelationships,
  Production and Processing (imp:1.24) — Knowledge of raw materials, production processes, quality control, costs, and ot
  Engineering and Technology (imp:1.22) — Knowledge of the practical application of engineering science and technology. Th
  Fine Arts (imp:1.20) — Knowledge of the theory and techniques required to compose, produce, and perform
  Food Production (imp:1.00) — Knowledge of techniques and equipment for planting, growing, and harvesting food
  Building and Construction (imp:1.00) — Knowledge of materials, methods, and the tools involved in the construction or r

--- ABILITIES ---
  Oral Comprehension (imp:4.00 lvl:4.12) — The ability to listen to and understand information and ideas presented through 
  Written Comprehension (imp:4.00 lvl:4.25) — The ability to read and understand information and ideas presented in writing.
  Oral Expression (imp:4.00 lvl:4.25) — The ability to communicate information and ideas in speaking so others will unde
  Written Expression (imp:3.75 lvl:3.88) — The ability to communicate information and ideas in writing so others will under
  Information Ordering (imp:3.62 lvl:3.38) — The ability to arrange things or actions in a certain order or pattern according
  Deductive Reasoning (imp:3.50 lvl:3.75) — The ability to apply general rules to specific problems to produce answers that 
  Near Vision (imp:3.38 lvl:3.75) — The ability to see details at close range (within a few feet of the observer).
  Inductive Reasoning (imp:3.25 lvl:3.50) — The ability to combine pieces of information to form general rules or conclusion
  Speech Clarity (imp:3.25 lvl:3.50) — The ability to speak clearly so others can understand you.
  Problem Sensitivity (imp:3.12 lvl:3.50) — The ability to tell when something is wrong or is likely to go wrong. It does no
  Mathematical Reasoning (imp:3.12 lvl:3.12) — The ability to choose the right mathematical methods or formulas to solve a prob
  Selective Attention (imp:3.12 lvl:3.12) — The ability to concentrate on a task over a period of time without being distrac
  Speech Recognition (imp:3.12 lvl:3.00) — The ability to identify and understand the speech of another person.
  Fluency of Ideas (imp:3.00 lvl:3.00) — The ability to come up with a number of ideas about a topic (the number of ideas
  Originality (imp:3.00 lvl:3.00) — The ability to come up with unusual or clever ideas about a given topic or situa
  Category Flexibility (imp:3.00 lvl:3.12) — The ability to generate or use different sets of rules for combining or grouping
  Number Facility (imp:3.00 lvl:3.12) — The ability to add, subtract, multiply, or divide quickly and correctly.
  Flexibility of Closure (imp:2.88 lvl:3.12) — The ability to identify or detect a known pattern (a figure, object, word, or so
  Far Vision (imp:2.75 lvl:2.88) — The ability to see details at a distance.
  Perceptual Speed (imp:2.62 lvl:2.62) — The ability to quickly and accurately compare similarities and differences among
  Visualization (imp:2.62 lvl:2.75) — The ability to imagine how something will look after it is moved around or when 
  Finger Dexterity (imp:2.50 lvl:2.38) — The ability to make precisely coordinated movements of the fingers of one or bot
  Memorization (imp:2.38 lvl:2.75) — The ability to remember information such as words, numbers, pictures, and proced
  Speed of Closure (imp:2.38 lvl:2.50) — The ability to quickly make sense of, combine, and organize information into mea
  Time Sharing (imp:2.00 lvl:2.00) — The ability to shift back and forth between two or more activities or sources of
  Visual Color Discrimination (imp:2.00 lvl:1.75) — The ability to match or detect differences between colors, including shades of c
  Trunk Strength (imp:1.88 lvl:1.38) — The ability to use your abdominal and lower back muscles to support part of the 
  Auditory Attention (imp:1.88 lvl:1.50) — The ability to focus on a single source of sound in the presence of other distra
  Depth Perception (imp:1.75 lvl:1.50) — The ability to judge which of several objects is closer or farther away from you
  Hearing Sensitivity (imp:1.75 lvl:1.50) — The ability to detect or tell the differences between sounds that vary in pitch 
  Wrist-Finger Speed (imp:1.50 lvl:0.50) — The ability to make fast, simple, repeated movements of the fingers, hands, and 
  Dynamic Strength (imp:1.38 lvl:0.38) — The ability to exert muscle force repeatedly or continuously over time. This inv
  Manual Dexterity (imp:1.25 lvl:0.25) — The ability to quickly move your hand, your hand together with your arm, or your
  Reaction Time (imp:1.12 lvl:0.25) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou
  Spatial Orientation (imp:1.00) — The ability to know your location in relation to the environment or to know wher
  Arm-Hand Steadiness (imp:1.00) — The ability to keep your hand and arm steady while moving your arm or while hold
  Control Precision (imp:1.00) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi
  Multilimb Coordination (imp:1.00) — The ability to coordinate two or more limbs (for example, two arms, two legs, or
  Response Orientation (imp:1.00) — The ability to choose quickly between two or more movements in response to two o
  Rate Control (imp:1.00) — The ability to time your movements or the movement of a piece of equipment in an
  Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs.
  Static Strength (imp:1.00) — The ability to exert maximum muscle force to lift, push, pull, or carry objects.
  Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping
  Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti
  Extent Flexibility (imp:1.00) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs.
  Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo
  Gross Body Coordination (imp:1.00) — The ability to coordinate the movement of your arms, legs, and torso together wh
  Gross Body Equilibrium (imp:1.00) — The ability to keep or regain your body balance or stay upright when in an unsta
  Night Vision (imp:1.00) — The ability to see under low-light conditions.
  Peripheral Vision (imp:1.00) — The ability to see objects or movement of objects to one's side when the eyes ar
  Glare Sensitivity (imp:1.00) — The ability to see objects in the presence of a glare or bright lighting.
  Sound Localization (imp:1.00) — The ability to tell the direction from which a sound originated.

--- WORK ACTIVITIES ---
  Working with Computers (imp:4.73 lvl:3.57) — Using computers and computer systems (including hardware and software) to progra
  Processing Information (imp:4.67 lvl:5.84) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying
  Analyzing Data or Information (imp:4.50 lvl:5.55) — Identifying the underlying principles, reasons, or facts of information by break
  Communicating with Supervisors, Peers, or Subordinates (imp:4.42 lvl:4.72) — Providing information to supervisors, co-workers, and subordinates by telephone,
  Getting Information (imp:4.29 lvl:4.46) — Observing, receiving, and otherwise obtaining information from all relevant sour
  Documenting/Recording Information (imp:4.26 lvl:4.12) — Entering, transcribing, recording, storing, or maintaining information in writte
  Interpreting the Meaning of Information for Others (imp:3.91 lvl:4.30) — Translating or explaining what information means and how it can be used.
  Organizing, Planning, and Prioritizing Work (imp:3.79 lvl:5.02) — Developing specific goals and plans to prioritize, organize, and accomplish your
  Identifying Objects, Actions, and Events (imp:3.72 lvl:3.95) — Identifying information by categorizing, estimating, recognizing differences or 
  Updating and Using Relevant Knowledge (imp:3.60 lvl:4.04) — Keeping up-to-date technically and applying new knowledge to your job.
  Establishing and Maintaining Interpersonal Relationships (imp:3.46 lvl:4.09) — Developing constructive and cooperative working relationships with others, and m
  Developing Objectives and Strategies (imp:3.38 lvl:4.18) — Establishing long-range objectives and specifying the strategies and actions to 
  Making Decisions and Solving Problems (imp:3.35 lvl:3.69) — Analyzing information and evaluating results to choose the best solution and sol
  Communicating with People Outside the Organization (imp:3.31 lvl:4.23) — Communicating with people outside the organization, representing the organizatio
  Thinking Creatively (imp:3.22 lvl:4.12) — Developing, designing, or creating new applications, ideas, relationships, syste
  Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:3.18 lvl:3.43) — Estimating sizes, distances, and quantities; or determining time, costs, resourc
  Training and Teaching Others (imp:3.13 lvl:3.57) — Identifying the educational needs of others, developing formal educational or tr
  Performing Administrative Activities (imp:3.08 lvl:3.39) — Performing day-to-day administrative tasks such as maintaining information files
  Coordinating the Work and Activities of Others (imp:2.97 lvl:3.48) — Getting members of a group to work together to accomplish tasks.
  Evaluating Information to Determine Compliance with Standards (imp:2.78 lvl:2.12) — Using relevant information and individual judgment to determine whether events o
  Scheduling Work and Activities (imp:2.76 lvl:3.07) — Scheduling events, programs, and activities, as well as the work of others.
  Monitoring Processes, Materials, or Surroundings (imp:2.71 lvl:3.28) — Monitoring and reviewing information from materials, events, or the environment,
  Providing Consultation and Advice to Others (imp:2.71 lvl:3.21) — Providing guidance and expert advice to management or other groups on technical,
  Performing for or Working Directly with the Public (imp:2.69 lvl:2.66) — Performing for people or dealing directly with the public. This includes serving
  Developing and Building Teams (imp:2.50 lvl:2.72) — Encouraging and building mutual trust, respect, and cooperation among team membe
  Guiding, Directing, and Motivating Subordinates (imp:2.50 lvl:2.39) — Providing guidance and direction to subordinates, including setting performance 
  Coaching and Developing Others (imp:2.47 lvl:2.96) — Identifying the developmental needs of others and coaching, mentoring, or otherw
  Judging the Qualities of Objects, Services, or People (imp:2.35 lvl:2.98) — Assessing the value, importance, or quality of things or people.
  Monitoring and Controlling Resources (imp:2.23 lvl:2.64) — Monitoring and controlling resources and overseeing the spending of money.
  Selling or Influencing Others (imp:2.18 lvl:2.23) — Convincing others to buy merchandise/goods or to otherwise change their minds or
  Resolving Conflicts and Negotiating with Others (imp:2.17 lvl:2.80) — Handling complaints, settling disputes, and resolving grievances and conflicts, 
  Staffing Organizational Units (imp:2.01 lvl:2.01) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ
  Assisting and Caring for Others (imp:1.89 lvl:1.89) — Providing personal assistance, medical attention, emotional support, or other pe
  Inspecting Equipment, Structures, or Materials (imp:1.63) — Inspecting equipment, structures, or materials to identify the cause of errors o
  Controlling Machines and Processes (imp:1.51) — Using either control mechanisms or direct physical activity to operate machines 
  Handling and Moving Objects (imp:1.45) — Using hands and arms in handling, installing, positioning, and moving materials,
  Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:1.28) — Providing documentation, detailed instructions, drawings, or specifications to t
  Repairing and Maintaining Electronic Equipment (imp:1.25 lvl:0.43) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines,
  Performing General Physical Activities (imp:1.19 lvl:0.25) — Performing general physical activities includes doing activities that require co
  Operating Vehicles, Mechanized Devices, or Equipment (imp:1.18) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s
  Repairing and Maintaining Mechanical Equipment (imp:1.00) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an

--- WORK STYLES ---
  Dependability (imp:3.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:2.57) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Dependability (imp:2.30) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Intellectual Curiosity (imp:2.20) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Attention to Detail (imp:2.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Integrity (imp:1.96) — A tendency to be honest and ethical at work.
  Achievement Orientation (imp:1.77) — A tendency to establish and maintain personally challenging work-related goals, 
  Perseverance (imp:1.64) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Cautiousness (imp:1.63) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Cooperation (imp:1.50) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Adaptability (imp:1.26) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Innovation (imp:1.25) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Tolerance for Ambiguity (imp:1.20) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative (imp:1.15) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Intellectual Curiosity (imp:1.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Stress Tolerance (imp:1.00) — A tendency to cope and function effectively in stressful situations at work.
  Self-Confidence (imp:0.85) — A tendency to believe in one's work-related capabilities and ability to control 
  Sincerity (imp:0.63) — A tendency to be genuine and sincere in interactions with others at work, withou
  Social Orientation (imp:0.61) — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Self-Control (imp:0.61) — A tendency to remain calm and composed and to manage emotions effectively in res
  Humility (imp:0.56) — A tendency to be modest and humble when interacting with others at work.
  Empathy (imp:0.37) — A tendency to show concern for others and be sensitive to others' needs and feel
  Optimism (imp:0.32) — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Achievement Orientation () — A tendency to establish and maintain personally challenging work-related goals, 
  Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may
  Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control 
  Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility () — A tendency to be modest and humble when interacting with others at work.
  Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou
  Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel
  Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work.
  Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Cautiousness () — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Integrity () — A tendency to be honest and ethical at work.
  Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work.
  Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res
  Leadership Orientation (imp:-0.05) — A tendency to lead, take charge, offer opinions, and provide direction at work.

--- TRANSFERABLE SKILLS ---
  Complex Problem Solving (imp:3.38 lvl:3.12) — Identifying complex problems and reviewing related information to develop and ev
  Judgment and Decision Making (imp:3.12 lvl:3.12) — Considering the relative costs and benefits of potential actions to choose the m
  Systems Analysis (imp:3.00 lvl:2.88) — Determining how a system should work and how changes in conditions, operations, 
  Social Perceptiveness (imp:2.88 lvl:2.88) — Being aware of others' reactions and understanding why they react as they do.
  Coordination (imp:2.88 lvl:3.00) — Adjusting actions in relation to others' actions.
  Systems Evaluation (imp:2.88 lvl:3.00) — Identifying measures or indicators of system performance and the actions needed 
  Time Management (imp:2.88 lvl:2.88) — Managing one's own time and the time of others.
  Instructing (imp:2.62 lvl:2.88) — Teaching others how to do something.
  Programming (imp:2.62 lvl:2.75) — Writing computer programs for various purposes.
  Persuasion (imp:2.50 lvl:2.50) — Persuading others to change their minds or behavior.
  Quality Control Analysis (imp:2.50 lvl:2.88) — Conducting tests and inspections of products, services, or processes to evaluate
  Negotiation (imp:2.38 lvl:2.38) — Bringing others together and trying to reconcile differences.
  Service Orientation (imp:2.38 lvl:2.50) — Actively looking for ways to help people.
  Management of Personnel Resources (imp:2.38 lvl:2.38) — Motivating, developing, and directing people as they work, identifying the best 
  Operations Monitoring (imp:2.12 lvl:1.88) — Watching gauges, dials, or other indicators to make sure a machine is working pr
  Operations Analysis (imp:2.00 lvl:2.00) — Analyzing needs and product requirements to create a design.
  Management of Material Resources (imp:2.00 lvl:2.00) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi
  Technology Design (imp:1.75 lvl:1.25) — Generating or adapting equipment and technology to serve user needs.
  Troubleshooting (imp:1.75 lvl:1.38) — Determining causes of operating errors and deciding what to do about it.
  Management of Financial Resources (imp:1.75 lvl:1.50) — Determining how money will be spent to get the work done, and accounting for the
  Operation and Control (imp:1.62 lvl:0.62) — Controlling operations of equipment or systems.
  Equipment Selection (imp:1.38 lvl:0.50) — Determining the kind of tools and equipment needed to do a job.
  Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications.
  Equipment Maintenance (imp:1.00) — Performing routine maintenance on equipment and determining when and what kind o
  Repairing (imp:1.00) — Repairing machines or systems using the needed tools.
BLS OEWS May 2025 — 30,640 employed nationally bls.gov/oes ↗ · Public Domain · US Government · retrieved 2026-06-02
--- NATIONAL WAGES ---
  total_employment : 30,640
  annual_median    : $61,990
  annual_pct10     : $38,090
  annual_pct25     : $48,620
  annual_pct75     : $77,760
  annual_pct90     : $102,070
  annual_mean      : $66,140
  hourly_median    : $29.81

--- GEOGRAPHIC DISPERSION ---
  highest_state    : Oklahoma ($69,090)
  lowest_state     : Nevada ($26,560)
  dispersion_ratio : 2.601x

--- TOP STATES BY WAGE (45 total) ---
  Educational Services                     emp:   14,160  median: $  63,280
  Professional, Scientific, and Technical Services emp:   10,930  median: $  63,800
  Health Care and Social Assistance        emp:    2,360  median: $  55,610
  Other Services (except Public Administration) emp:    1,280  median: $  60,120
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      970  median: $  52,490
  Administrative and Support and Waste Management and Remediation Services emp:      200  median: $  60,110
  Management of Companies and Enterprises  emp:      190  median: $  48,340
  Manufacturing                            emp:      150  median: $  79,420
  Finance and Insurance                    emp:      150  median: $  64,650
  Arts, Entertainment, and Recreation      emp:       80  median: $  32,820

--- TOP INDUSTRIES BY EMPLOYMENT (11 total) ---
  Educational Services                     emp:   14,160  median: $  63,280
  Professional, Scientific, and Technical Services emp:   10,930  median: $  63,800
  Health Care and Social Assistance        emp:    2,360  median: $  55,610
  Other Services (except Public Administration) emp:    1,280  median: $  60,120
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      970  median: $  52,490
  Administrative and Support and Waste Management and Remediation Services emp:      200  median: $  60,110
  Management of Companies and Enterprises  emp:      190  median: $  48,340
  Manufacturing                            emp:      150  median: $  79,420
  Finance and Insurance                    emp:      150  median: $  64,650
  Arts, Entertainment, and Recreation      emp:       80  median: $  32,820
Wikipedia — no exact match (0 words) N/A ↗ · CC BY-SA 4.0
exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:55:54.640905Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Qualitative research (similarity: 0.4815)
  URL: https://en.wikipedia.org/wiki/Qualitative_research
  QID: Q839486
  Extract: Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews

  Title: Lisa Feldman Barrett (similarity: 0.2963)
  URL: https://en.wikipedia.org/wiki/Lisa_Feldman_Barrett
  QID: Q6557970
  Extract: Lisa Feldman Barrett is a Canadian-American psychologist. She is a Distinguished Professor of psychology at Northeastern University, where she focuses on affective science and co-directs the Interdisciplinary Affective Science Laboratory. She has received the William James Fellow Award from the Asso

  Title: Psychology (similarity: 0.1364)
  URL: https://en.wikipedia.org/wiki/Psychology
  QID: Q9418
  Extract: Psychology is the scientific study of the mind and behavior. Its subject matter includes the behavior of humans and nonhumans, both conscious and unconscious phenomena, and mental processes such as thoughts, feelings, and motives. Psychology is an academic discipline of broad scope, crossing the bou

  Title: Abdelmalek Sayad (similarity: 0.2400)
  URL: https://en.wikipedia.org/wiki/Abdelmalek_Sayad
  QID: Q2821183
  Extract: Abdelmalek Sayad, was a sociologist, first as an assistant to Pierre Bourdieu, then as a research director at the French CNRS and at the School for Advanced Studies in the Social Sciences. He studied migration issues in French social sciences.

  Title: Virtual assistant (similarity: 0.5098)
  URL: https://en.wikipedia.org/wiki/Virtual_assistant
  QID: Q3467906
  Extract: A virtual assistant (VA) is a software agent that can perform a range of tasks or services for a user based on user input, such as commands or questions, including verbal ones. Such technologies often incorporate chatbot capabilities to streamline task execution. The interaction may be via text, gra
Claude Inference — claude-sonnet-4-20250514 · confidence:high · $0.0468 inferred_at: 2026-06-03T16:15:11 UTC · Boise Standard inference pipeline v1.0
model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes     : Strong data foundation with comprehensive O*NET profiles, detailed wage and employment statistics, and clear task definitions. The role's position in educational and research sectors is well-documented through industry employment data.
inferred_at          : 2026-06-03T16:15:11.128260+00:00
tokens_input         : 4,393
tokens_output        : 4,258
cost_usd             : $0.046755
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match found, though semantic neighbors include qualitative research methodologies and psychology research contexts. The occupation represents a specific professional support role that bridges academic research and data management.

--- PROSE FIELDS ---

ROLE SUMMARY:
Social Science Research Assistants support academic and applied research by managing data, conducting literature reviews, and preparing research findings for publication. They serve as the operational backbone of social science research teams, handling database management, quality control, and documentation across psychology, economics, sociology, and other social science disciplines. These professionals bridge the gap between research concepts and empirical implementation, ensuring data integrity and supporting the research process from design through dissemination.

DAY IN THE LIFE:
A typical day involves extensive computer work, spending significant time processing information and analyzing data using software like IBM SPSS Statistics or ESRI ArcGIS. They verify the accuracy of data entered in databases, correcting errors and implementing quality control procedures to maintain research integrity. Much of their time is devoted to preparing tables, graphs, and written reports summarizing research results, requiring strong attention to detail and clear communication skills. They conduct internet-based and library research to gather background information, track research participants for follow-up tasks, and code data in preparation for computer analysis. Regular communication with supervisors and peers involves presenting findings, discussing methodology, and coordinating project timelines.

WHO THRIVES:
Individuals who excel in this role typically have a strong investigative personality combined with conventional organizational skills, as evidenced by the high I and C scores in the RIASEC profile. They possess exceptional written and oral comprehension abilities, with the capacity to process complex information and translate it into clear, accessible formats. Success requires intellectual curiosity paired with dependability and meticulous attention to detail, as the role demands both creative problem-solving and systematic data management. Those who thrive are comfortable working independently while maintaining regular communication with research teams, and they find satisfaction in supporting the advancement of scientific knowledge through careful, methodical work.

CAREER ENTRY:
Most positions require a bachelor's degree (52.7% of workers), with many employers preferring candidates with master's degrees (36.7%) in relevant social science fields. Strong computer skills are essential, particularly proficiency in statistical software, database management, and data visualization tools. Entry-level candidates often gain experience through graduate assistantships, internships, or volunteer research positions that provide hands-on training in research methodology and data analysis. The Job Zone 4 classification indicates considerable preparation is needed, typically requiring 2-4 years of relevant education and experience.

CAREER TRAJECTORY:
Social Science Research Assistants often advance to roles as Survey Researchers, Data Scientists, or Clinical Research Coordinators, leveraging their experience in data management and research methodology. Many pursue graduate education to become independent researchers or statisticians, with the analytical and technical skills serving as a strong foundation for advanced research positions. The role serves as an excellent stepping stone into academic careers, with some progressing to teaching assistant positions or eventually faculty roles. Others transition into applied research roles in government agencies, think tanks, or private sector research organizations.

MARKET INTELLIGENCE:
The field employs 30,640 workers nationally with a median annual wage of $61,990 according to BLS OEWS May 2025, ranging from $38,090 to $102,070 for the 10th to 90th percentiles. Geographic variation is moderate with a 2.60x ratio between highest-paying Oklahoma ($69,090) and lowest-paying Nevada ($26,560), suggesting regional differences in research funding and cost of living. The largest employment sectors are Educational Services (14,160 workers) and Professional, Scientific, and Technical Services (10,930 workers), reflecting the concentration in universities and research institutions. Demand is driven by increasing emphasis on evidence-based policy making and the growing importance of data analysis across social science disciplines.

AUTOMATION OUTLOOK:
The role shows moderate resilience to automation due to the high importance of activities like Processing Information, Analyzing Data, and Interpreting Information for Others, which require human judgment and contextual understanding. While routine data entry tasks may become more automated, the critical thinking required for quality control procedures and the nuanced interpretation of social science data provide protection against displacement. The emerging task of grant proposal writing suggests the role is evolving toward higher-value activities that require human creativity and strategic thinking.

--- REASONED EDGES ---
  [skill_overlap] Data Scientists (15-2051.00) — confidence:high
    reasoning: Both roles share high importance ratings for Working with Computers, Processing Information, and Analyzing Data, with overlapping technical skills in statistical software and database management.
    data: Working with Computers (imp:4.7)
    data: Processing Information (imp:4.7)
    data: Analyzing Data or Information (imp:4.5)
  [career_pathway] Survey Researchers (19-3022.00) — confidence:high
    reasoning: Natural progression path given shared research methodology knowledge and the emphasis on data collection and analysis in social science contexts.
    data: Educational Services employment sector overlap
    data: Social science research focus
    data: Research quality control procedures
  [task_similarity] Statistical Assistants (43-9111.00) — confidence:high
    reasoning: Both roles involve extensive data management, quality control procedures, and preparing statistical reports, with similar technical skill requirements.
    data: Verify accuracy of data
    data: Prepare tables and graphs
    data: Mathematics knowledge (imp:3.1, lvl:4.1)
  [riasec_cluster] Statisticians (15-2041.00) — confidence:medium
    reasoning: Both roles emphasize investigative and conventional personality types, requiring analytical thinking and systematic data management skills.
    data: RIASEC I:6.08, C:5.93
    data: Critical Thinking (imp:3.8, lvl:3.9)
    data: Mathematics (imp:3.1, lvl:3.9)
  [transferable_skill] Teaching Assistants, Postsecondary (25-9044.00) — confidence:medium
    reasoning: Shared emphasis on educational environments and communication skills, with overlapping abilities in oral and written expression.
    data: Educational Services sector employment
    data: Oral Expression (imp:4.0, lvl:4.2)
    data: Written Expression (imp:3.8, lvl:3.9)

--- NORMALIZER SIGNALS ---
  match_keywords   : ['social science research assistant', 'research assistant', 'graduate research assistant', 'data analyst research', 'clinical research assistant', 'economic research assistant', 'laboratory assistant research', 'postdoctoral associate']
  exclude_keywords : ['research scientist', 'principal investigator', 'research director', 'senior researcher', 'research manager']
  title_patterns   : ['*Research Assistant*', '*Research Associate*', 'Graduate Assistant', 'Postdoc*', '*Data Analyst']
  common_variations: ['Graduate Research Assistant', 'Clinical Research Assistant', 'Economic Research Assistant', 'Postdoctoral Associate', 'Research Data Analyst', 'Laboratory Research Assistant', 'Social Science Research Associate', 'Research Support Specialist']
Semantic Manifold — 40 terms · 5 provenance layers employment_word_extractor.py · sources: onet_tasks | onet_dimensions | dwas | wikipedia | inference · Constitutional Law III
total_terms    : 40
top_words      : ['research', 'tendency', 'others', 'equipment', 'social', 'control', 'principles', 'science', 'scientific', 'includes', 'technical', 'resources', 'management', 'objects', 'procedures', 'analysis', 'ideas', 'activities', 'quality', 'understanding']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
research                   49  0.01723  inference            inference:49%  onet_tasks:22%  wikipedia:16%
tendency                   42  0.01477  onet_dimensions      onet_dimensions:100%
others                     40  0.01406  onet_dimensions      onet_dimensions:95%  inference:5%
equipment                  23  0.00809  onet_dimensions      onet_dimensions:100%
social                     21  0.00738  inference            inference:33%  wikipedia:29%  onet_dimensions:24%
control                    16  0.00563  onet_dimensions      onet_dimensions:75%  inference:19%  onet_tasks:6%
principles                 16  0.00563  onet_dimensions      onet_dimensions:100%
science                    15  0.00527  inference            inference:47%  wikipedia:40%  onet_dimensions:13%
scientific                 13  0.00457  dwas                 dwas:62%  wikipedia:15%  inference:15%
includes                   13  0.00457  onet_dimensions      onet_dimensions:92%  wikipedia:8%
technical                  13  0.00457  dwas                 dwas:62%  onet_dimensions:23%  inference:15%
resources                  12  0.00422  onet_dimensions      onet_dimensions:75%  dwas:17%  onet_tasks:8%
management                 12  0.00422  onet_dimensions      onet_dimensions:58%  inference:42%
objects                    12  0.00422  onet_dimensions      onet_dimensions:100%
procedures                 11  0.00387  onet_dimensions      onet_dimensions:73%  inference:18%  onet_tasks:9%
analysis                   11  0.00387  onet_dimensions      onet_dimensions:36%  inference:27%  wikipedia:18%
ideas                      11  0.00387  onet_dimensions      onet_dimensions:100%
activities                 11  0.00387  onet_dimensions      onet_dimensions:82%  inference:18%
quality                    10  0.00352  onet_dimensions      onet_dimensions:60%  inference:30%  onet_tasks:10%
understanding              10  0.00352  onet_dimensions      onet_dimensions:60%  wikipedia:30%  inference:10%
human                      10  0.00352  onet_dimensions      onet_dimensions:70%  inference:20%  wikipedia:10%
techniques                 10  0.00352  onet_dimensions      onet_dimensions:100%
materials                  10  0.00352  onet_dimensions      onet_dimensions:100%
body                       10  0.00352  onet_dimensions      onet_dimensions:100%
written                     9  0.00316  onet_dimensions      onet_dimensions:67%  inference:22%  onet_tasks:11%
needs                       9  0.00316  onet_dimensions      onet_dimensions:89%  onet_tasks:11%
design                      9  0.00316  onet_dimensions      onet_dimensions:67%  onet_tasks:22%  inference:11%
software                    9  0.00316  onet_dimensions      onet_dimensions:33%  wikipedia:22%  inference:22%
understand                  9  0.00316  onet_dimensions      onet_dimensions:78%  wikipedia:22%
problems                    9  0.00316  onet_dimensions      onet_dimensions:100%
services                    9  0.00316  onet_dimensions      onet_dimensions:67%  inference:22%  wikipedia:11%
quickly                     9  0.00316  onet_dimensions      onet_dimensions:100%
orientation                 9  0.00316  onet_dimensions      onet_dimensions:100%
computer                    8  0.00281  onet_dimensions      onet_dimensions:38%  inference:38%  onet_tasks:25%
attention                   8  0.00281  onet_dimensions      onet_dimensions:75%  inference:25%
rules                       8  0.00281  onet_dimensions      onet_dimensions:100%
problem                     8  0.00281  onet_dimensions      onet_dimensions:88%  inference:12%
monitoring                  8  0.00281  onet_dimensions      onet_dimensions:100%
standards                   8  0.00281  onet_dimensions      onet_dimensions:100%
production                  8  0.00281  onet_dimensions      onet_dimensions:100%
◈ Boise Standard Employment Graph · 19-4061.00 · built 2026-06-02 · Sources declared above are authoritative originals. This page synthesizes but does not replace them. Every claim traceable. Full provenance. Constitutional Law I.
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