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Bioinformatics research technician skills for your resume and career

Updated January 8, 2025
3 min read
Below we've compiled a list of the most critical bioinformatics research technician skills. We ranked the top skills for bioinformatics research technicians based on the percentage of resumes they appeared on. For example, 28.0% of bioinformatics research technician resumes contained python as a skill. Continue reading to find out what skills a bioinformatics research technician needs to be successful in the workplace.

15 bioinformatics research technician skills for your resume and career

1. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how bioinformatics research technicians use python:
  • Translated and optimize previously written Perl code for use in Python.
  • Project title: Model building of Chikungunya virus E protein using Python script.

2. Next-Generation Sequencing

Here's how bioinformatics research technicians use next-generation sequencing:
  • Prepared highly multiplexed DNA libraries for next-generation sequencing.
  • Construct DNA library preps for Illumina sequencing in a Next-Generation Sequencing laboratory.

3. RNA-seq

Here's how bioinformatics research technicians use rna-seq:
  • Experience in working with clinical, RNA-Seq data that tested for effects of drug treatment in cancer patients.
  • Researched, implemented, and maintained an RNA-Seq data analysis pipeline.

4. Perl

A Practical Extraction and Report Language, or simply PERL, is a programming language used for a script intended for syntax. You can see this when a particular web programmer or a junior developer creates a script for servers. It is used to manipulate text and utilize tasks such as web development, programming, and system administration.

Here's how bioinformatics research technicians use perl:
  • Designed and developed Perl applications to measure quantity of STAT5 in genomes from the Virginia-Maryland Regional College of Veterinary Medicine.
  • Conducted large-scale genetic screens and data analysis with Perl and R to identify genes controlling neuronal development and diseases.

5. Linux

Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.

Here's how bioinformatics research technicians use linux:
  • Administered and Maintained Linux system/server.
  • Maintained and increased functionality of automation software tools, internal project web server and Oracle database under Linux system.

6. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how bioinformatics research technicians use java:
  • Core Java had been used.
  • Led special groups at Java Card Forum, Global Platform meetings to set industry-wide standards.

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7. NGS

Here's how bioinformatics research technicians use ngs:
  • Developed tools to automatically validate VCF files generated in clinical NGS pipelines.
  • Design training modules, internal and external documentation for Analysis Edition of NGS (GeneSifter).

8. DNA

Deoxyribonucleic acid, or only DNA, which is considered the king of molecules, is a macromolecule that contains the main component of chromosomes. Shaped like a double helix, DNA is usually found in the nucleus of a cell. It is a type of material that transports characteristics in many forms, developed in nucleotides around one another.

Here's how bioinformatics research technicians use dna:
  • Completed the breakdown and analysis on DNA strands from multiple Citrus samples Skills Used.
  • Researched known cancer genes DNA sequence, and if g-complexes contribute to cancer development.

9. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how bioinformatics research technicians use unix:
  • Work in both windows and unix environments

10. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how bioinformatics research technicians use r:
  • Develop R packages, e.g.
  • Developed and performed statistical analyses and reported tools in R/Bioconductor.

11. Bioconductor

Here's how bioinformatics research technicians use bioconductor:
  • Developed and performed statistical analyses and reported tools in R/Bioconductor.
  • Identified differentially expressed genes that satisfy the T-test and fold change using BioConductor packages like Affy and Limma.

12. PCR

PCR stands for Polymerase Chain Reaction, a tool to make millions of copies of a target part of DNA. Polymerase chain reaction involves the process of heating and cooling. The process takes place using a machine, which helps in heating and cooling off the substances. The purpose of heating exists to separate the DNA into two single strands.

Here's how bioinformatics research technicians use pcr:
  • Used Excel to record experimental data and project possible phenotypes observed from PCR.
  • Executed lab techniques, including protein complementation, PCR, ligations and high throughput robotics.

13. TCGA

Here's how bioinformatics research technicians use tcga:
  • Provided bioinformatics support to Pittsburgh Genomics Resource Repository (PGRR) a framework for accessing TCGA datasets.

14. Experimental Data

Experimental Data is science and engineering data produced by measurements, test methods, and experimental designs. Data is collected and measured through standard objectives.

Here's how bioinformatics research technicians use experimental data:
  • Worked closely with teammates to process and interpret experimental data from lab.!
  • Maintained database of annotations and experimental data on P. aeruginosa.

15. MATLAB

Here's how bioinformatics research technicians use matlab:
  • Modified Excel and Matlab models to allow for changing parameters and procedures.
  • Fitted data from 3 cell lines and 15 P-gp inhibitors using a Matlab algorithm to establish parameters for graphical analysis.
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List of bioinformatics research technician skills to add to your resume

The most important skills for a bioinformatics research technician resume and required skills for a bioinformatics research technician to have include:

  • Python
  • Next-Generation Sequencing
  • RNA-seq
  • Perl
  • Linux
  • Java
  • NGS
  • DNA
  • Unix
  • R
  • Bioconductor
  • PCR
  • TCGA
  • Experimental Data
  • MATLAB
  • PCA

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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