Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between bioinformatics developers and hadoop 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 hadoop developer. Additionally, a hadoop developer has an average salary of $93,148, 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 hadoop developer are HDFS, python, and java.
| Bioinformatics Developer | Hadoop Developer | |
| Yearly salary | $86,993 | $93,148 |
| Hourly rate | $41.82 | $44.78 |
| Growth rate | 21% | 21% |
| Number of jobs | 83,646 | 99,671 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 74% |
| Average age | 39 | 39 |
| Years of experience | 4 | 4 |
Bioinformatics developers and hadoop developers have different pay scales, as shown below.
| Bioinformatics Developer | Hadoop Developer | |
| Average salary | $86,993 | $93,148 |
| Salary range | Between $66,000 And $113,000 | Between $72,000 And $118,000 |
| Highest paying City | South San Francisco, CA | San Francisco, CA |
| Highest paying state | Oregon | Washington |
| Best paying company | Merck | Apple |
| Best paying industry | - | Finance |
There are a few differences between a bioinformatics developer and a hadoop developer in terms of educational background:
| Bioinformatics Developer | Hadoop Developer | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 74% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | - |
Here are the differences between bioinformatics developers' and hadoop developers' demographics:
| Bioinformatics Developer | Hadoop Developer | |
| Average age | 39 | 39 |
| Gender ratio | Male, 88.5% Female, 11.5% | Male, 77.8% Female, 22.2% |
| 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, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 32.5% White, 50.3% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |