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Economic research assistant vs research volunteer

The differences between economic research assistants and research volunteers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both an economic research assistant and a research volunteer. Additionally, an economic research assistant has an average salary of $59,920, which is higher than the $54,668 average annual salary of a research volunteer.

The top three skills for an economic research assistant include BLS, data collection and statistical data. The most important skills for a research volunteer are lab procedures, cell culture, and laboratory techniques.

Economic research assistant vs research volunteer overview

Economic Research AssistantResearch Volunteer
Yearly salary$59,920$54,668
Hourly rate$28.81$26.28
Growth rate6%19%
Number of jobs47,03550,334
Job satisfaction--
Most common degreeBachelor's Degree, 73%Bachelor's Degree, 74%
Average age3838
Years of experience22

Economic research assistant vs research volunteer salary

Economic research assistants and research volunteers have different pay scales, as shown below.

Economic Research AssistantResearch Volunteer
Average salary$59,920$54,668
Salary rangeBetween $35,000 And $101,000Between $34,000 And $85,000
Highest paying CityBoston, MA-
Highest paying stateNew Jersey-
Best paying companyThe George Washington University-
Best paying industryFinance-

Differences between economic research assistant and research volunteer education

There are a few differences between an economic research assistant and a research volunteer in terms of educational background:

Economic Research AssistantResearch Volunteer
Most common degreeBachelor's Degree, 73%Bachelor's Degree, 74%
Most common majorEconomicsBiology
Most common collegeHarvard UniversityHarvard University

Economic research assistant vs research volunteer demographics

Here are the differences between economic research assistants' and research volunteers' demographics:

Economic Research AssistantResearch Volunteer
Average age3838
Gender ratioMale, 54.6% Female, 45.4%Male, 38.7% Female, 61.3%
Race ratioBlack or African American, 8.6% Unknown, 6.0% Hispanic or Latino, 15.3% Asian, 16.7% White, 52.4% American Indian and Alaska Native, 1.0%Black or African American, 8.6% Unknown, 6.0% Hispanic or Latino, 15.4% Asian, 16.9% White, 52.1% American Indian and Alaska Native, 1.0%
LGBT Percentage8%8%

Differences between economic research assistant and research volunteer duties and responsibilities

Economic research assistant example responsibilities.

  • Evaluate patients' study eligibility via medical history, obtain informed consent, enroll patients, and achieve enrollment quotas.
  • Conduct quantitative data analysis utilizing the statistical software STATA.
  • Perform regression analysis on large datasets and develop machine learning models to aid client decision making.
  • Analyze and regress data with SAS to find statistically significant causes.
  • Perform panel data regression analysis and statistical testing of hypotheses with STATA.
  • Guide the technical implementation of an automate analysis system (electrophoresis station), with the enhancement of its operational efficiency.
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Research volunteer example responsibilities.

  • Evaluate patients' study eligibility via medical history, obtain informed consent, enroll patients, and achieve enrollment quotas.
  • Assist in monitoring MRI scans.
  • Assist in cloning and expression for RNA research.
  • Analyze cell lysates and purify proteins by SDS-PAGE electrophoresis.
  • Design a PowerPoint presentation to teach senior adults about email accounts.
  • Assist with laboratory experiments, collect data and DNA samples, contribute to lab protocols.
  • Show more

Economic research assistant vs research volunteer skills

Common economic research assistant skills
  • BLS, 12%
  • Data Collection, 10%
  • Statistical Data, 9%
  • Telephone Interviews, 7%
  • Commodities, 6%
  • Stata, 5%
Common research volunteer skills
  • Lab Procedures, 11%
  • Cell Culture, 8%
  • Laboratory Techniques, 7%
  • Data Collection, 6%
  • R, 4%
  • RT-PCR, 4%

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