Computational biologist vs aquatic scientist

The differences between computational biologists and aquatic scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-8 years to become both a computational biologist and an aquatic scientist. Additionally, an aquatic scientist has an average salary of $71,831, which is higher than the $61,449 average annual salary of a computational biologist.

The top three skills for a computational biologist include python, machine learning and next-generation sequencing. The most important skills for an aquatic scientist are GIS, NPDES, and .

Computational biologist vs aquatic scientist overview

	Computational Biologist	Aquatic Scientist
Yearly salary	$61,449	$71,831
Hourly rate	$29.54	$34.53
Growth rate	17%	17%
Number of jobs	12,839	41,726
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 53%	Bachelor's Degree, 87%
Average age	40	40
Years of experience	8	8

Computational biologist vs aquatic scientist salary

Computational biologists and aquatic scientists have different pay scales, as shown below.

	Computational Biologist	Aquatic Scientist
Average salary	$61,449	$71,831
Salary range	Between $38,000 And $99,000	Between $44,000 And $115,000
Highest paying City	San Francisco, CA	-
Highest paying state	Alaska	-
Best paying company	Google	-
Best paying industry	Health Care	-

Differences between computational biologist and aquatic scientist education

There are a few differences between a computational biologist and an aquatic scientist in terms of educational background:

	Computational Biologist	Aquatic Scientist
Most common degree	Bachelor's Degree, 53%	Bachelor's Degree, 87%
Most common major	Biology	Biology
Most common college	Harvard University	University of Washington

Computational biologist vs aquatic scientist demographics

Here are the differences between computational biologists' and aquatic scientists' demographics:

	Computational Biologist	Aquatic Scientist
Average age	40	40
Gender ratio	Male, 80.2% Female, 19.8%	Male, 71.4% Female, 28.6%
Race ratio	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%	Black or African American, 2.3% Unknown, 4.9% Hispanic or Latino, 6.3% Asian, 11.1% White, 74.7% American Indian and Alaska Native, 0.6%
LGBT Percentage	10%	10%

Differences between computational biologist and aquatic scientist duties and responsibilities

Computational biologist example responsibilities.

Develop UNIX shell script, PERL and AWK program and apply TECPLOT software macro files to automate data processing and report.
Manage detailed GLP laboratory manual daily.
Design and perform model-based gene expression analysis with whole genome tiling-microarray data sets using SAS.
Generate QC report and plots for new RNASeq samples using BAM files, PICARD, SAM tools etc.
Foster collaborations both within USDA and with external scientists.
Breed the mice, perform genotyping, injection and operation.

Aquatic scientist example responsibilities.

Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
Develop extraction processes for naturally-occurring cholesterol-lowering compounds.
Develop extraction processes for naturally-occurring cholesterol-lowering compounds.

Computational biologist vs aquatic scientist skills

Common computational biologist skills

Python, 24%
Machine Learning, 13%
Next-Generation Sequencing, 9%
C++, 6%
Visualization, 5%
Biological Data, 5%

Common aquatic scientist skills

GIS, 57%
NPDES, 43%

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Computational Biologist vs Aquatic Scientist

Updated January 8, 2025

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