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Biologist vs computational biologist

The differences between biologists 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 biologist and a computational biologist. Additionally, a biologist has an average salary of $65,158, which is higher than the $61,449 average annual salary of a computational biologist.

The top three skills for a biologist include data collection, GPS and renewable energy. The most important skills for a computational biologist are python, machine learning, and next-generation sequencing.

Biologist vs computational biologist overview

BiologistComputational Biologist
Yearly salary$65,158$61,449
Hourly rate$31.33$29.54
Growth rate1%17%
Number of jobs5,74112,839
Job satisfaction--
Most common degreeBachelor's Degree, 78%Bachelor's Degree, 53%
Average age4040
Years of experience88

What does a biologist do?

A biologist is a specialized scientist focusing on studying living organisms and their relationship to the existing ecosystem. Biologists spend lots of time doing research and validating theories to support the complexity of the living matter. In some cases, biologists could also be out in the field rather than staying in a laboratory to collect biological specimens to justify their findings and create reports from their scientific investigations. Biologists also often communicate with government entities and private industries to provide recommendations on preserving the ecosystem and wildlife habitat.

What does a computational biologist do?

A computational biologist is an expert in computational management, high-performance computing, data algorithm, and biological and statistical processes. You study to understand biological systems using computational theoretical principles. Your duties typically include doing research and computer programming, developing a theory, mathematical models, and computer simulations to organize and analyze your findings, and building databases. To become a successful computational biologist, you must have extensive knowledge of bioinformatics, biochemistry, and computational biology, excellent communication skills, and problem-solving skills.

Biologist vs computational biologist salary

Biologists and computational biologists have different pay scales, as shown below.

BiologistComputational Biologist
Average salary$65,158$61,449
Salary rangeBetween $46,000 And $91,000Between $38,000 And $99,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateNew YorkAlaska
Best paying companyGoogleGoogle
Best paying industryPharmaceuticalHealth Care

Differences between biologist and computational biologist education

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

BiologistComputational Biologist
Most common degreeBachelor's Degree, 78%Bachelor's Degree, 53%
Most common majorBiologyBiology
Most common collegeUniversity of California, BerkeleyHarvard University

Biologist vs computational biologist demographics

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

BiologistComputational Biologist
Average age4040
Gender ratioMale, 51.4% Female, 48.6%Male, 80.2% Female, 19.8%
Race ratioBlack or African American, 3.1% Unknown, 5.3% Hispanic or Latino, 8.7% Asian, 10.4% White, 71.9% 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 Percentage10%10%

Differences between biologist and computational biologist duties and responsibilities

Biologist example responsibilities.

  • Train for GLP compliance - manage transition of department to GLP/GCP compliance for CRO accreditation.
  • Work closely with other project leads to make sure sampling protocols for Chinook, chum and steelhead are followed.
  • Manage detailed GLP laboratory manual daily.
  • Create and manage multidisciplinary, interagency research teams.
  • Conduct data analysis for mark-recapture studies of juvenile Chinook salmon and steelhead trout abundance.
  • Train ODA staff in GIS data management and model development, providing document protocols for future GIS use.
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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.
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Biologist vs computational biologist skills

Common biologist skills
  • Data Collection, 7%
  • GPS, 6%
  • Renewable Energy, 6%
  • Cell Culture, 5%
  • GIS, 4%
  • Technical Reports, 4%
Common computational biologist skills
  • Python, 24%
  • Machine Learning, 13%
  • Next-Generation Sequencing, 9%
  • C++, 6%
  • Visualization, 5%
  • Biological Data, 5%

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