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The differences between research computing specialists and content specialists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 4-6 years to become both a research computing specialist and a content specialist. Additionally, a research computing specialist has an average salary of $67,967, which is higher than the $66,018 average annual salary of a content specialist.
The top three skills for a research computing specialist include python, cloud and linux. The most important skills for a content specialist are customer service, digital marketing, and wordpress.
| Research Computing Specialist | Content Specialist | |
| Yearly salary | $67,967 | $66,018 |
| Hourly rate | $32.68 | $31.74 |
| Growth rate | 19% | 19% |
| Number of jobs | 56,842 | 40,346 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 68% | Bachelor's Degree, 76% |
| Average age | 37 | 37 |
| Years of experience | 6 | 6 |
Research computing specialists and content specialists have different pay scales, as shown below.
| Research Computing Specialist | Content Specialist | |
| Average salary | $67,967 | $66,018 |
| Salary range | Between $44,000 And $104,000 | Between $52,000 And $83,000 |
| Highest paying City | Clifton Park, NY | San Francisco, CA |
| Highest paying state | New Jersey | New Jersey |
| Best paying company | Genentech | Meta |
| Best paying industry | Education | Health Care |
There are a few differences between a research computing specialist and a content specialist in terms of educational background:
| Research Computing Specialist | Content Specialist | |
| Most common degree | Bachelor's Degree, 68% | Bachelor's Degree, 76% |
| Most common major | Computer Science | Communication |
| Most common college | University of Georgia | University of Georgia |
Here are the differences between research computing specialists' and content specialists' demographics:
| Research Computing Specialist | Content Specialist | |
| Average age | 37 | 37 |
| Gender ratio | Male, 65.6% Female, 34.4% | Male, 43.0% Female, 57.0% |
| Race ratio | Black or African American, 4.7% Unknown, 4.9% Hispanic or Latino, 11.2% Asian, 14.0% White, 65.1% American Indian and Alaska Native, 0.1% | Black or African American, 5.2% Unknown, 5.0% Hispanic or Latino, 12.4% Asian, 11.0% White, 66.3% American Indian and Alaska Native, 0.1% |
| LGBT Percentage | 10% | 10% |