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The differences between bioinformatics developers and datastage developers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a bioinformatics developer and a datastage developer. Additionally, a datastage developer has an average salary of $89,821, which is higher than the $86,993 average annual salary of a bioinformatics developer.
The top three skills for a bioinformatics developer include python, java and next-generation sequencing. The most important skills for a datastage developer are sql server, database, and unix.
Bioinformatics developers and datastage developers have different pay scales, as shown below.
| Bioinformatics Developer | Datastage Developer | |
| Average salary | $86,993 | $89,821 |
| Salary range | Between $66,000 And $113,000 | Between $70,000 And $114,000 |
| Highest paying City | South San Francisco, CA | San Francisco, CA |
| Highest paying state | Oregon | California |
| Best paying company | Merck | Macy's |
| Best paying industry | - | Health Care |
There are a few differences between a bioinformatics developer and a datastage developer in terms of educational background:
| Bioinformatics Developer | Datastage Developer | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 77% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | - |
Here are the differences between bioinformatics developers' and datastage developers' demographics:
| Bioinformatics Developer | Datastage Developer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 88.5% Female, 11.5% | Male, 70.5% Female, 29.5% |
| Race ratio | Black or African American, 2.9% Unknown, 4.3% Hispanic or Latino, 6.4% Asian, 31.3% White, 55.0% American Indian and Alaska Native, 0.2% | Black or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.2% Asian, 34.2% White, 48.1% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |