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Automation Risk Analysis

Will “Research Assistant” be Automated?

Historical Context: Oxford Study (2013)

Ranked #117 of 702. Estimated risk: 3.5%

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AI Exposure Risk

61%

“Research Assistant” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 61% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

23%

“Research Assistant” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 23% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Operations Research Analysts, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.

Avg. Annual Salary $99,120
Avg. Hourly Wage $47.66
Available Jobs (US) 107,760
Job Title & Hierarchy Code (SOC) Operations Research Analysts #15-2031
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Operations Research Analysts”

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Core Skills & Abilities

  • Analyze information obtained from management to conceptualize and define operational problems.

  • Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.

  • Present the results of mathematical modeling and data analysis to management or other end users.

  • Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.

  • Specify manipulative or computational methods to be applied to models.

  • Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.

  • Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.

  • Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.

  • Define data requirements, and gather and validate information, applying judgment and statistical tests.

  • Prepare management reports defining and evaluating problems and recommending solutions.

  • Develop and apply time and cost networks to plan, control, and review large projects.

  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

  • Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.

  • Educate staff in the use of mathematical models.

  • Review research literature.

  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.

  • Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.

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  • iGrafx
  • ILOG OPL-CPLEX Development System
  • MicroStrategy
  • Oracle Business Intelligence Enterprise Edition
  • Tableau
  • Microsoft SharePoint
  • McAfee
  • IBM Domino
  • Business Forecast Systems Forecast Pro
  • Grok (xAI)
  • Wolfram Research Mathematica
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  • C
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  • Stanford Business Software MINOS
  • Splunk Enterprise
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  • SAS
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  • The MathWorks MATLAB
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  • General algebraic modeling system GAMS
  • Oracle Solaris
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  • R
  • A mathematical programming language AMPL
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  • Structured query language SQL
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  • Microsoft Visio
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