Automatically apply for jobs with Zippi

Upload your resume to get started.

Bioinformatics analyst skills for your resume and career

Updated January 8, 2025

4 min read

Quoted expert

Michael McLaughlin

Below we've compiled a list of the most critical bioinformatics analyst skills. We ranked the top skills for bioinformatics analysts based on the percentage of resumes they appeared on. For example, 16.8% of bioinformatics analyst resumes contained python as a skill. Continue reading to find out what skills a bioinformatics analyst needs to be successful in the workplace.

15 bioinformatics analyst 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 analysts use python:

Developed client-side interface using MATLAB, Python.
Write SQL queries, Perl and Python scripts to aid with data extraction, processing, analysis and reporting.

2. Next-Generation Sequencing

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

Optimized a probabilistic algorithm for aligning next-generation sequencing data.
Performed SNP detection and analysis of Next-Generation Sequencing (NGS) data and bioinformatics services for various studies.

3. Data Analysis

Here's how bioinformatics analysts use data analysis:

Performed downstream data analysis on a variety of scientific projects and disciplines.
Develop software and computational methods for data analysis.

4. 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 analysts use java:

Collaborated with Product Development to produce a Java application for the purpose of automation.
Developed and maintained automated regression test cases in Selenium WebDriver using Java programming language.

5. C++

C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions

Here's how bioinformatics analysts use c++:

Developed a variant-calling pipeline in C++ using SeqAn's library and assumption of Poisson distributuion of variants.

6. Visualization

Here's how bioinformatics analysts use visualization:

Lead development of XPLOR [4 member team], an R based Proteomics data exploration and visualization software package.
Designed visualization templates in Plotly (D3) and TIBCO Spotfire to visualize gene expression.

Choose from 10+ customizable bioinformatics analyst resume templates

Build a professional bioinformatics analyst resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your bioinformatics analyst resume.

7. 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 analysts 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.

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 analysts use perl:

Possess a strong command of SAS, R, Partek and Perl.
Designed and developed a methodology for antibody sequence annotation and implemented with PERL.

9. NGS

Here's how bioinformatics analysts use ngs:

Assist, collaborate and consult with internal and external researchers on analysis of NGS data; 5.
Developed tools to automatically validate VCF files generated in clinical NGS pipelines.

10. 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 analysts use unix:

Demonstrated competency in software configuration and application's build process using PVCS configuration manager and UNIX make utilities.
Developed and presented strategy for implementing high-availability Unix system software to client CIO, managerial and technical staff.

11. SQL

Here's how bioinformatics analysts use sql:

Manage and query large, complex, relational genetic databases using MySQL and Microsoft SQL Server.
Performed differential expression analysis on protein level * Performed database querying in SQL to define protein interactomes.

12. RNA-seq

Here's how bioinformatics analysts use rna-seq:

Experience in working with clinical, RNA-Seq data that tested for effects of drug treatment in cancer patients.
Integrated DNA-seq and RNA-seq data for variant calling analysis and clincal cancer studies.

13. MATLAB

Here's how bioinformatics analysts use matlab:

Used the database to explore the human cognition behavior by R, MATLAB.
Helped convert Matlab code for ISFET image processing to C, allowing analyses which were prohibitively expensive before (i.e.

14. Data Processing

Data processing refers to the manipulation and collection of data to generate meaningful information by a computer. It may include the transfer of raw data to a machine-legible form, managing the flow of data through the CPU or any memory to an output device, and conversion of output. Any utilization of computers to perform specific functions on data can be incorporated under data processing.

Here's how bioinformatics analysts use data processing:

Design and implementation of systems architecture for data processing (high performance computing) analysis and presentation.

15. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how bioinformatics analysts use sas:

Interpreted and analyzed statistical data using SAS computer programs providing valuable insight toward the development of banking clients marketing efforts.
Utilized advanced statistical analyses in SAS to identify up-sale/cross-sale opportunities for multiple catalog clients resulting in increased sales and revenues.

5 Bioinformatics Analyst resume examples

Build a professional bioinformatics analyst resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 5+ resume templates to create your bioinformatics analyst resume.

Create my resume

Build a professional resume in minutes using this template.

What skills help Bioinformatics Analysts find jobs?

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

What skills stand out on bioinformatics analyst resumes?

Michael McLaughlin

Faculty, Brigham Young University - Idaho

The ability to solve unstructured problems.

Do you want to know more?

List of bioinformatics analyst skills to add to your resume

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

Python
Next-Generation Sequencing
Data Analysis
Java
C++
Visualization
Linux
Perl
NGS
Unix
SQL
RNA-seq

MATLAB
Data Processing
SAS
Bioconductor
DNA
Statistical Analysis
R
TCGA
QC
Sequence Data
Gene Expression
NIH

BWA
Cancer Research
Analysis Tools
Profiling
Gwas
Genotyping
Experimental Data
Ncbi
Scientific Journals
PHP

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.

Updated January 8, 2025

Browse computer and mathematical jobs