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Senior biologist vs computational biologist

The differences between senior 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 senior biologist and a computational biologist. Additionally, a senior biologist has an average salary of $66,143, which is higher than the $61,449 average annual salary of a computational biologist.

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

Senior biologist vs computational biologist overview

Senior BiologistComputational Biologist
Yearly salary$66,143$61,449
Hourly rate$31.80$29.54
Growth rate1%17%
Number of jobs1,65012,839
Job satisfaction--
Most common degreeBachelor's Degree, 73%Bachelor's Degree, 53%
Average age4040
Years of experience88

Senior biologist vs computational biologist salary

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

Senior BiologistComputational Biologist
Average salary$66,143$61,449
Salary rangeBetween $45,000 And $96,000Between $38,000 And $99,000
Highest paying CityCarson City, NVSan Francisco, CA
Highest paying stateAlaskaAlaska
Best paying companyEli Lilly and CompanyGoogle
Best paying industryPharmaceuticalHealth Care

Differences between senior biologist and computational biologist education

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

Senior BiologistComputational Biologist
Most common degreeBachelor's Degree, 73%Bachelor's Degree, 53%
Most common majorBiologyBiology
Most common collegeStanford UniversityHarvard University

Senior biologist vs computational biologist demographics

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

Senior BiologistComputational Biologist
Average age4040
Gender ratioMale, 57.8% Female, 42.2%Male, 80.2% Female, 19.8%
Race ratioBlack or African American, 3.0% Unknown, 5.3% Hispanic or Latino, 8.5% Asian, 15.4% White, 67.1% 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 senior biologist and computational biologist duties and responsibilities

Senior biologist example responsibilities.

  • Lead teams involve in preclinical toxicity assessment of anticancer NCEs and establishment of GLP compliant toxicology division.
  • Design a bedbug assay used for GLP testing.
  • Assist in development of the GPS data dictionaries used for the project.
  • Participate in the design and implementation of genetic DNA contract research with NCI.
  • Supervise biologists, radar software engineers, and GIS staff during preparation of the interim and final reports.
  • Perform biological surveys using handheld GPS units for threaten, endanger and sensitive species, to include botanical species.
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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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Senior biologist vs computational biologist skills

Common senior biologist skills
  • Renewable Energy, 28%
  • Data Collection, 13%
  • Species ACT, 10%
  • Research Projects, 5%
  • Sops, 4%
  • Cell-Based Assays, 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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