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Bioinformatics developer skills for your resume and career

Updated January 8, 2025

3 min read

Below we've compiled a list of the most critical bioinformatics developer skills. We ranked the top skills for bioinformatics developers based on the percentage of resumes they appeared on. For example, 28.0% of bioinformatics developer resumes contained python as a skill. Continue reading to find out what skills a bioinformatics developer needs to be successful in the workplace.

15 bioinformatics developer 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 developers use python:

Develop with: Rails, Perl, Python, and R..
Simulated RNA evolution by massively parallelizing Python scripts executed in a pipeline.

2. 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 developers use java:

Implemented modules in Java that use existing R statistical libraries from BioConductor to analyze complex statistical problems encountered in Microarray Experiments.
Implemented full Laboratory Informatics Management System (LIMS) in PHP version and Java version.

3. Next-Generation Sequencing

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

Optimized a probabilistic algorithm for aligning next-generation sequencing data.

4. 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 developers use linux:

Developed high availability real time Messaging system for financial/Banking transactions and developed associated components in Linux, UNIX, AIX platforms.
Packaged over 20 scientific software tools and adapted for deployment using the Debian/Ubuntu Linux software repository

5. Visualization

Here's how bioinformatics developers use visualization:

Create SQL Server stored procedures for data transformation and migration from system databases to reporting and visualization optimized databases.
Created Angular Custom Service such as Factory and service for data visualization and data manipulation.

6. PHP

PHP, the abbreviation for hypertext preprocessor, is a scripted language used in websites to manage content.

Here's how bioinformatics developers use php:

Redesigned PHP Email/FTP application with J2EE application to deliver secure documents to Merchant Bank/printer service company.
Developed PHP applications and algorithms which seamlessly integrated applications and database in a very efficient manner.

7. Web Services

A web service is software that is available on the internet and uses a specific messaging system. A web service is a kind of service that is not bound to any specific programming language or operating system. Web services help every device to communicate over the world wide web.

Here's how bioinformatics developers use web services:

Designed and coded a web service using Windows Communication Foundation to assist data warehouse developers by automatically moving reports between servers.
Gathered requirements and designed operational and management reports for internal and client use utilizing Reporting Services and web services.

8. NGS

Here's how bioinformatics developers use ngs:

Manage CCSB's IT infrastructure to meet the challenges and demands imposed by new technologies, especially NGS technologies.
Manage multiple NGS pipelines and use Illumina BaseSpace REST API to launch BWA alignment on demand.

9. 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 developers use perl:

Worked on Perl scripts that communicated with a third party monitoring tool and provided it with configuration files and metadata.
Performed Hive queries with Custom Map-reduce Perl programs for processing set top box field report data.

10. C

Here's how bioinformatics developers use c:

Developed applications using Objective C to automatically extract and input data into specific files.
Developed optimized algorithms in C to perform efficient operations.

11. 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 developers use c++:

Developed scientific application with a 3-dimensional graphical user interface using C++ and OpenGL.
Designed and programmed module called Media Gateway Controller using C++ in Linux environment.

12. 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 developers use dna:

Assess feasibility of various DNA sequencing methodologies for HLA typing through DNA sequence analysis and modeling.
Assisted in updating an in-house LIMS system for effective DNA sample tracking.

13. Version Control

Version control otherwise known as source control is a software configuration management practice responsible for tracking and managing changes to software code and computer programs, files, or set of files so that specific versions overtime could be later recalled and modifications stored in a database.

Here's how bioinformatics developers use version control:

Support and maintenance in software configuration management team using Git version control in Unix environment.
Deployed and incorporated Perforce version control system into day- to-day operations of an 8-developer team.

14. Analysis Tools

Analysis tools primarily help an aerodynamics engineer ensure facilities and equipment function efficiently and safely according to industry standards and safety regulations. An aerodynamics engineer is skilled at utilizing analysis tools to conduct research and analyses, test the design and structure of products, check the pressure and gauge levels of machines, and identify the strengths and weaknesses of different areas, developing strategies to improve the equipment.

Here's how bioinformatics developers use analysis tools:

Developed multiple smaller analysis tools and associated web interfaces.
Developped new analysis tools and pipeline for cutting edge nanopore sequencing platform MinION as early access laboratory.

15. SQL

Here's how bioinformatics developers use sql:

Maintained SQL scripts and complex queries for analysis and extraction.
Developed detailed SQL test scripts to verify data integrity.

What skills help Bioinformatics Developers find jobs?

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

List of bioinformatics developer skills to add to your resume

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

Python
Java
Next-Generation Sequencing
Linux
Visualization
PHP

Web Services
NGS
Perl
C
C++
DNA

Version Control
Analysis Tools
SQL
Analysis Pipelines
Ucsc
Gatk

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

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