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The differences between bioinformatics engineers and scientists 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 engineer and a scientist. Additionally, a bioinformatics engineer has an average salary of $104,575, which is higher than the $97,344 average annual salary of a scientist.
The top three skills for a bioinformatics engineer include python, next-generation sequencing and NGS. The most important skills for a scientist are chemistry, data analysis, and patients.
| Bioinformatics Engineer | Scientist | |
| Yearly salary | $104,575 | $97,344 |
| Hourly rate | $50.28 | $46.80 |
| Growth rate | 21% | 17% |
| Number of jobs | 125,410 | 62,467 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 47% | Bachelor's Degree, 60% |
| Average age | 39 | 41 |
| Years of experience | 4 | 4 |
Bioinformatics engineers are professionals who use bioinformatics methodology and hypothesis to analyze biological data such as gene sequence and protein absorption. These engineers are required to distribute, formulate, and engineer the open-source application solutions so that they can facilitate the analysis and unified stem cell information management systems. They must ensure that information entered is accurate and correct while sustaining infrastructure for the maintenance of the sequencing information and other related data. Bioinformatics engineers must also apply an algorithm to recover and execute the exchange of vital information.
A scientist is responsible for researching and analyzing the nature and complexities of the physical world to identify discoveries that would improve people's lives and ignite scientific knowledge for society. Scientists' duties differ in their different areas of expertise, but all of them must have a broad comprehension of scientific disciplines and methods to support their experiments and investigations. They collect the sample for their research, record findings, create research proposals, and release publications. A scientist must know how to utilize laboratory equipment to support the study and drive results efficiently and accurately.
Bioinformatics engineers and scientists have different pay scales, as shown below.
| Bioinformatics Engineer | Scientist | |
| Average salary | $104,575 | $97,344 |
| Salary range | Between $73,000 And $148,000 | Between $67,000 And $140,000 |
| Highest paying City | Richmond, CA | Redwood City, CA |
| Highest paying state | California | California |
| Best paying company | Memorial Sloan Kettering Cancer Center | Airbnb |
| Best paying industry | Start-up | Technology |
There are a few differences between a bioinformatics engineer and a scientist in terms of educational background:
| Bioinformatics Engineer | Scientist | |
| Most common degree | Bachelor's Degree, 47% | Bachelor's Degree, 60% |
| Most common major | Biostatistics | Chemistry |
| Most common college | Massachusetts Institute of Technology | University of Southern California |
Here are the differences between bioinformatics engineers' and scientists' demographics:
| Bioinformatics Engineer | Scientist | |
| Average age | 39 | 41 |
| Gender ratio | Male, 62.2% Female, 37.8% | Male, 56.9% Female, 43.1% |
| 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, 6.5% Unknown, 4.1% Hispanic or Latino, 9.8% Asian, 26.3% White, 53.2% American Indian and Alaska Native, 0.1% |
| LGBT Percentage | 8% | 8% |