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Bioinformatics analyst vs scientist

The differences between bioinformatics analysts and scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a bioinformatics analyst, becoming a scientist takes usually requires 2-4 years. Additionally, a scientist has an average salary of $97,344, which is higher than the $79,394 average annual salary of a bioinformatics analyst.

The top three skills for a bioinformatics analyst include python, next-generation sequencing and data analysis. The most important skills for a scientist are chemistry, data analysis, and patients.

Bioinformatics analyst vs scientist overview

Bioinformatics AnalystScientist
Yearly salary$79,394$97,344
Hourly rate$38.17$46.80
Growth rate9%17%
Number of jobs30,66962,467
Job satisfaction--
Most common degreeBachelor's Degree, 59%Bachelor's Degree, 60%
Average age4341
Years of experience64

What does a bioinformatics analyst do?

A bioinformatics analyst is responsible for assisting with laboratory examinations and research investigations on the Human Genome Project. Bioinformatics analysts analyze scientific data with the researchers to develop treatment plans for human diseases and maintain the accuracy of the database for algorithms. They submit genomic data to the medical professionals, write report findings, and discuss results to the researchers. A bioinformatics analyst must have excellent technical and analytical skills to operate various software tools and applications to generate data efficiently.

What does a scientist do?

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 analyst vs scientist salary

Bioinformatics analysts and scientists have different pay scales, as shown below.

Bioinformatics AnalystScientist
Average salary$79,394$97,344
Salary rangeBetween $59,000 And $106,000Between $67,000 And $140,000
Highest paying CityFoster City, CARedwood City, CA
Highest paying stateMarylandCalifornia
Best paying companyEditas MedicineAirbnb
Best paying industryProfessionalTechnology

Differences between bioinformatics analyst and scientist education

There are a few differences between a bioinformatics analyst and a scientist in terms of educational background:

Bioinformatics AnalystScientist
Most common degreeBachelor's Degree, 59%Bachelor's Degree, 60%
Most common majorBiostatisticsChemistry
Most common collegeHarvard UniversityUniversity of Southern California

Bioinformatics analyst vs scientist demographics

Here are the differences between bioinformatics analysts' and scientists' demographics:

Bioinformatics AnalystScientist
Average age4341
Gender ratioMale, 49.2% Female, 50.8%Male, 56.9% Female, 43.1%
Race ratioBlack or African American, 7.0% Unknown, 4.9% Hispanic or Latino, 9.1% Asian, 26.7% White, 52.2% 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 Percentage8%8%

Differences between bioinformatics analyst and scientist duties and responsibilities

Bioinformatics analyst example responsibilities.

  • Involve in developing Perl scripts to manage biological data.
  • Manage administration and supervise development of logistics policies and programs to ensure they meet the changing conditions in program requirements.
  • Develop a web application using JSP, HTML, CSS, SQL procedures.
  • Develop Perl, Matlab and VBA software tools to improve comparative sequence analysis algorithms.
  • Develop pipelines and software for QC and analytical deliverables from whole-genome sequence data.
  • Design client server database applications, base on Java and MySQL.
  • Show more

Scientist example responsibilities.

  • Lead a cross-functional team to return an HIV combination product to market on random-access instrument.
  • Design the VERIS HIV-1 quantitative PCR assay which achieve Conformit Europ enne (CE) marking.
  • Manage an elemental analytical laboratory that include operating, maintaining and troubleshooting an ICP-OES, ICPMS, MXRF, and IC.
  • Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
  • Manage study protocols and study conduct, intimately involve in the toxicology and pharmacokinetic study protocol development process.
  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Show more

Bioinformatics analyst vs scientist skills

Common bioinformatics analyst skills
  • Python, 17%
  • Next-Generation Sequencing, 11%
  • Data Analysis, 10%
  • Java, 7%
  • C++, 5%
  • Visualization, 5%
Common scientist skills
  • Chemistry, 9%
  • Data Analysis, 7%
  • Patients, 7%
  • Molecular Biology, 4%
  • Cell Culture, 4%
  • Java, 3%

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