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Bioinformatics specialist skills for your resume and career

Updated January 8, 2025

3 min read

Below we've compiled a list of the most critical bioinformatics specialist skills. We ranked the top skills for bioinformatics specialists based on the percentage of resumes they appeared on. For example, 21.2% of bioinformatics specialist resumes contained python as a skill. Continue reading to find out what skills a bioinformatics specialist needs to be successful in the workplace.

15 bioinformatics specialist 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 specialists use python:

Write SQL queries, Perl and Python scripts to aid with data extraction, processing, analysis and reporting.
Created a Python script to read in protein data from multiple files and put them into a database.

2. Next-Generation Sequencing

Here's how bioinformatics specialists use next-generation sequencing:

Build up infra-structure for next-generation sequencing data analysis.
Performed SNP detection and analysis of Next-Generation Sequencing (NGS) data and bioinformatics services for various studies.

3. RNA-seq

Here's how bioinformatics specialists use rna-seq:

Performed comparison of RNA-seq and 3'-Tag Digital Gene Expression data to evaluate optimal choice for a study involving human gene expression
Develop a spline fitting method along with a graphical user interface for ordering effect detection in single cell RNA-seq data.

4. Genome

Here's how bioinformatics specialists use genome:

Designed and developed advanced web-based search engine using Perl, PHP and Berkley DB and MySql for human genome related literature.
Designed and performed model-based gene expression analysis with whole genome tiling-microarray data sets using SAS.

5. NGS

Here's how bioinformatics specialists use ngs:

Developed best practice documentation for NGS analysis to enable transparent and reproducible data analysis.
Coordinate various computational projects and supervise computational biologists for NGS data analysis.

6. 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 specialists 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.

7. 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 specialists use unix:

Developed UNIX shell script, PERL and AWK program and applied TECPLOT software macro files to automate data processing and report.
Work in both windows and unix environments

8. 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 specialists use perl:

Designed and developed a methodology for antibody sequence annotation and implemented with PERL.
Involved in developing Perl scripts to manage biological data.

9. Software Development

Software development is the mechanism by which programmers create computer programs. The Software Development Life Cycle (SDLC) is a framework for developing applications that follow technological needs and consumer requirements. It consists of many stages. The SDLC establishes an international standard that software developers can use to enhance and create their programs. It provides a well-defined framework for software developers to pursue in the production, maintenance, and design of premium quality software. The aim of the software development process is to create high-quality software on time and within budget.

Here's how bioinformatics specialists use software development:

Acquired experience in software development.
Served as subject matter expert in all software development related issues in the group.

10. 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 specialists use java:

Designed client server database applications, based on Java and MySQL.
Developed Java based parsing utility for different data types from different experiments from panomics studies.

11. Visualization

Here's how bioinformatics specialists use visualization:

Provided a diversity of data visualization tools.
Designed visualization templates in Plotly (D3) and TIBCO Spotfire to visualize gene expression.

12. HPC

Here's how bioinformatics specialists use hpc:

Applied HT sequencing software on local Penguin HPC clusters and at TACC.
Customized proprietary software for implementation on TACC HPC clusters.

13. Exome

Here's how bioinformatics specialists use exome:

Project 1 : Exome Sequencing Data Analysis (Biliary Atresia Project).

14. Web Application

Here's how bioinformatics specialists use web application:

Collaborate with proteomics scientists to identify and predict HDAC-interacting protein with database driven web application.

15. Sequence Analysis

Here's how bioinformatics specialists use sequence analysis:

Develop and automate sequence analysis processes.
Participated and assisted in the Nucleic Acid and Protein Sequence Analysis workshop.

What skills help Bioinformatics Specialists find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

List of bioinformatics specialist skills to add to your resume

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

Python
Next-Generation Sequencing
RNA-seq
Genome
NGS
Linux
Unix
Perl
Software Development
Java

Visualization
HPC
Exome
Web Application
Sequence Analysis
PHP
R
Bioconductor
Sequence Data
Microarrays

Statistical Analyses
SNP
Picard
Data Analysis Pipeline
Algorithm Development
Clinical Trials
PL/SQL
Pathway Analysis

Updated January 8, 2025

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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Updated January 8, 2025

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