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Bioinformatics research technician vs bioinformatics associate

The differences between bioinformatics research technicians and bioinformatics associates 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 research technician, becoming a bioinformatics associate takes usually requires 2-4 years. Additionally, a bioinformatics associate has an average salary of $90,279, which is higher than the $53,544 average annual salary of a bioinformatics research technician.

The top three skills for a bioinformatics research technician include python, next-generation sequencing and rna-seq. The most important skills for a bioinformatics associate are python, perl, and computational biology.

Bioinformatics research technician vs bioinformatics associate overview

Bioinformatics Research TechnicianBioinformatics Associate
Yearly salary$53,544$90,279
Hourly rate$25.74$43.40
Growth rate9%21%
Number of jobs56,8266,069
Job satisfaction--
Most common degreeBachelor's Degree, 71%Bachelor's Degree, 55%
Average age4240
Years of experience64

Bioinformatics research technician vs bioinformatics associate salary

Bioinformatics research technicians and bioinformatics associates have different pay scales, as shown below.

Bioinformatics Research TechnicianBioinformatics Associate
Average salary$53,544$90,279
Salary rangeBetween $36,000 And $77,000Between $54,000 And $150,000
Highest paying CityCambridge, MABoston, MA
Highest paying stateRhode IslandMaryland
Best paying companyAdmera HealthGilead Sciences
Best paying industry--

Differences between bioinformatics research technician and bioinformatics associate education

There are a few differences between a bioinformatics research technician and a bioinformatics associate in terms of educational background:

Bioinformatics Research TechnicianBioinformatics Associate
Most common degreeBachelor's Degree, 71%Bachelor's Degree, 55%
Most common majorBiologyComputer Science
Most common collegeHarvard UniversityUniversity of Pennsylvania

Bioinformatics research technician vs bioinformatics associate demographics

Here are the differences between bioinformatics research technicians' and bioinformatics associates' demographics:

Bioinformatics Research TechnicianBioinformatics Associate
Average age4240
Gender ratioMale, 69.3% Female, 30.7%Male, 52.6% Female, 47.4%
Race ratioBlack or African American, 10.8% Unknown, 3.4% Hispanic or Latino, 18.6% Asian, 11.8% White, 54.8% 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 Percentage11%10%

Differences between bioinformatics research technician and bioinformatics associate duties and responsibilities

Bioinformatics research technician example responsibilities.

  • Manage informatics LIMS system for sample tracking, reporting and delivery of service projects.
  • Map DNA through PCR, gel electrophoresis, blotting methods, and shotgun sequencing.
  • Develop and implement QC standards to ensure data quality.
  • Core Java have been used.
  • Research, implement, and maintain an RNA-Seq data analysis pipeline.
  • Research known cancer genes DNA sequence, and if g-complexes contribute to cancer development.
  • Show more

Bioinformatics associate example responsibilities.

  • Involve in developing Perl scripts to manage biological data.
  • Implement biological interpretation of largescale data using gene ontology, gene set, and pathway and network enrichment analytical frameworks.
  • Implement biological interpretation of largescale data using gene ontology, gene set, and pathway and network enrichment analytical frameworks.

Bioinformatics research technician vs bioinformatics associate skills

Common bioinformatics research technician skills
  • Python, 28%
  • Next-Generation Sequencing, 16%
  • RNA-seq, 11%
  • Perl, 11%
  • Linux, 6%
  • Java, 5%
Common bioinformatics associate skills
  • Python, 43%
  • Perl, 12%
  • Computational Biology, 12%
  • SQL, 10%
  • Next-Generation Sequencing, 9%
  • QC, 6%

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