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Bioinformatics software engineer skills for your resume and career

Updated January 8, 2025

4 min read

Quoted expert

Dr. Jim Huggins

Below we've compiled a list of the most critical bioinformatics software engineer skills. We ranked the top skills for bioinformatics software engineers based on the percentage of resumes they appeared on. For example, 19.6% of bioinformatics software engineer resumes contained python as a skill. Continue reading to find out what skills a bioinformatics software engineer needs to be successful in the workplace.

15 bioinformatics software engineer 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 software engineers use python:

Developed and maintained biological sequence processing applications in C, Perl, Python, Spark.
Designed and implemented embedded Linux server-side python application for processing of command/control/response of RF serial detection and compass serial devices.

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 software engineers use java:

Developed Java Script utility objects for common client side validations, history handling, window management and menus management.
Eliminated previously manual steps and avoided limited viability of planned solution (Java application download and run locally).

3. Next-Generation Sequencing

Here's how bioinformatics software engineers use next-generation sequencing:

Optimized a probabilistic algorithm for aligning next-generation sequencing data.
Worked with a team of bioinformatics scientists on creation of next-generation sequencing libraries.

4. Visualization

Here's how bioinformatics software engineers use visualization:

Implemented genomic alignment visualization tools in Python-Qt and R. * Designed MySQL databases for genomic annotations.
Designed and implemented visualization tools to demonstrate detection point technology for real time display and historical statistics analysis.

5. AWS

Here's how bioinformatics software engineers use aws:

Used The AWS Services Lambda, SNS and SQS..
Administered production and development environments on AWS and in-house servers.

6. JavaScript

Here's how bioinformatics software engineers use javascript:

Designed client website for GeneAcumen using Labkey APIs, HTML, CSS, JavaScript and EXT JS.
Developed web analytic tracking mechanism using JavaScript injection techniques with ASP.NET to extract specific data elements from web business applications.

7. 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 software engineers use c++:

Designed and developed User Interface screens in Visual c++ and Packages in Oracle required for the customers in Hospitality Suite application.
Designed and Developed screens in Visual c++ and Visual Studio and interacted with Oracle Database using Perl scripts.

8. 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 software engineers use linux:

Developed Linux library routines, which provided data and communications to the front-end call processing applications.
Verify BSP firmware design against Linux platform requirements and provide custom host software implementation options.

9. CSS

Here's how bioinformatics software engineers use css:

Enhanced customer Account Profile usability by implementing reusable components using JavaScript prototyping and CSS.
Developed CSS minimization algorithm based on vector-space similarity measures.

10. API

Here's how bioinformatics software engineers use api:

Required interaction with API's for control modules of camera, laser, imaging filters and micro-controller.
Proved concept of Exposing R functions as a restful API in a short time.

11. RNA

A Ribonucleic acid (RNA) has a vital role in determining the biological macromolecule commonly found in all bodily cells. It is the synthesis of protein, carriers message instruction from the Deoxyribonucleic acid or DNA. RNA is a kind of single-stranded cell that has different forms. It allows the molecule to go back and forth to its original condition.

Here's how bioinformatics software engineers use rna:

Design & development of automated pipeline for assembly and annotation of RNA sequencing data.

12. 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 software engineers use perl:

Developed and maintained Perl job processing application that processed external company job feeds in a proprietary format into the Monster database.
Designed and developed automation strategies using Perl for efficiently reducing and meeting product test cycle for wireless projects.

13. HTML

Here's how bioinformatics software engineers use html:

Design and develop dynamically generated web pages based on HTML, XML with JavaServer Pages, JavaScript and Tag files.
Designed and developed help pages in HTML to assist instructors using their Instructor Station to control the training environment.

14. Spark

Spark fully known as Apache Spark is an open-source operating system that is used for processing large-scale data. It's best deployed when the data size is large as the system operates on in-memory caching and advanced query execution for queries that are fast against any data size that it finds.

Here's how bioinformatics software engineers use spark:

Commissioned and managed Apache Spark cluster.

15. Regression

Here's how bioinformatics software engineers use regression:

Interacted with developers and business Users to communicate the defects and actively participated in replicating the bugs and performed regression testing.
Performed integration and regression testing on all software enhancements and modifications made to ensure requirements were met according to detailed design.

What skills help Bioinformatics Software Engineers find jobs?

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

What bioinformatics software engineer skills would you recommend for someone trying to advance their career?

Dr. Jim Huggins

Associate Professor of Computer Science, Kettering University

Demand for computer scientists in the marketplace is high right now. The US Bureau of Labor Statistics states that employment in computer science is projected to grow much faster than all other occupations in the next ten years and currently pays salaries twice the national average. Working conditions for computer scientists are generally good: pleasant office environments, with the potential for flexible work environments and flexible schedules. But beyond the economic reasons, choosing computer science as a career means choosing a career that helps people solve their problems. Everyone uses computers to perform hundreds of tasks per day; computer scientists design the systems that people are using to make their everyday life more fulfilling.

Do you want to know more?

List of bioinformatics software engineer skills to add to your resume

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

Python
Java
Next-Generation Sequencing
Visualization
AWS
JavaScript
C++

Linux
CSS
API
RNA
Perl
HTML
Spark

Regression
Analysis Tools
PHP
SQL Server
Data Structures
XML
Windows

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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