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The differences between fish culture supervisors and computational biologists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-8 years to become both a fish culture supervisor and a computational biologist. Additionally, a computational biologist has an average salary of $61,449, which is higher than the $52,309 average annual salary of a fish culture supervisor.
The top three skills for a fish culture supervisor include payroll, customer service and performance evaluations. The most important skills for a computational biologist are python, machine learning, and next-generation sequencing.
| Fish Culture Supervisor | Computational Biologist | |
| Yearly salary | $52,309 | $61,449 |
| Hourly rate | $25.15 | $29.54 |
| Growth rate | -3% | 17% |
| Number of jobs | 1,067 | 12,839 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 57% | Bachelor's Degree, 53% |
| Average age | 40 | 40 |
| Years of experience | 8 | 8 |
Fish culture supervisors and computational biologists have different pay scales, as shown below.
| Fish Culture Supervisor | Computational Biologist | |
| Average salary | $52,309 | $61,449 |
| Salary range | Between $27,000 And $100,000 | Between $38,000 And $99,000 |
| Highest paying City | - | San Francisco, CA |
| Highest paying state | - | Alaska |
| Best paying company | - | |
| Best paying industry | - | Health Care |
There are a few differences between a fish culture supervisor and a computational biologist in terms of educational background:
| Fish Culture Supervisor | Computational Biologist | |
| Most common degree | Bachelor's Degree, 57% | Bachelor's Degree, 53% |
| Most common major | Business | Biology |
| Most common college | Stanford University | Harvard University |
Here are the differences between fish culture supervisors' and computational biologists' demographics:
| Fish Culture Supervisor | Computational Biologist | |
| Average age | 40 | 40 |
| Gender ratio | Male, 70.5% Female, 29.5% | Male, 80.2% Female, 19.8% |
| Race ratio | Black or African American, 3.1% Unknown, 5.3% Hispanic or Latino, 8.7% Asian, 10.3% White, 71.8% American Indian and Alaska Native, 0.7% | Black or African American, 2.7% Unknown, 5.1% Hispanic or Latino, 7.4% Asian, 17.0% White, 67.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 10% | 10% |