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Laboratory Bioinformatics Jobs (NOW HIRING)

Axle

Bioinformatics Scientist

Bethesda, MD

Address bioinformatics, scientific computing, and data analysis needs of users within the Division ... Experience working in a laboratory setting is a plus but not required Disclaimer: The above ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Address bioinformatics, scientific computing, and data analysis needs of users within the Division ... Experience working in a laboratory setting is a plus but not required Disclaimer: The above ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Address bioinformatics, scientific computing, and data analysis needs of users within the Division ... Experience working in a laboratory setting is a plus but not required Disclaimer: The above ...

Caltech

Bioinformatics Support Specialist

Pasadena, CA · On-site

Bioinformatic Analyses * Learn and apply state-of-the-art statistical and computational methods for ... Develop and maintain scripts for automated robotic platforms to perform laboratory procedures.

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How much do laboratory bioinformatics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for laboratory bioinformatics in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $50.48 per hour, depending on experience, location, and employer.

What jobs can you do with bioinformatics?

With a background in bioinformatics, you can pursue roles such as bioinformatics analyst, computational biologist, or research scientist, often working in laboratories, biotech companies, or research institutions. These jobs typically require skills in programming, data analysis, and understanding of biological data, and may involve using tools like R, Python, or specialized software for genomic analysis.

Is bioinformatics a high paying job?

Bioinformatics jobs, including roles like Laboratory Bioinformatics specialists, tend to offer competitive salaries due to the specialized skills required, such as programming, data analysis, and knowledge of biological sciences. Salaries vary based on experience, education, location, and industry, but generally, bioinformatics positions are considered well-paying within the life sciences field.

Is AI going to replace bioinformatics?

Laboratory bioinformatics involves analyzing biological data, and AI tools are increasingly used to automate data processing and pattern recognition. While AI enhances efficiency and accuracy, it complements rather than replaces the expertise of bioinformaticians, who interpret complex results and develop algorithms. Skills in programming, data analysis, and understanding biological context remain essential in the field.
More about Laboratory Bioinformatics jobs
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Laboratory Bioinformatics jobs near you
Infographic showing various Laboratory Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $64,999 per year, or $31.2 per hour.
Software Engineer - Bioinformatics /NGS Sequencing Systems

Software Engineer - Bioinformatics /NGS Sequencing Systems

APN Software Services Inc

South San Francisco, CA • On-site

Contractor

Posted 2 days ago

Job description

Job title: Bioinformatics Software Engineer – NGS Sequencing Systems
Duration: till end of year

Location: South SFO, CA

Position Summary
We are seeking a highly motivated Bioinformatics Software Engineer to support software systems and data workflows within a Next Generation Sequencing (NGS) laboratory environment. The successful candidate will develop, maintain, and support applications and pipelines used for sequencing data processing, laboratory workflow management, and data analysis.
This role requires a strong background in software development, database management, and workflow automation, with experience supporting scientific data systems. The candidate will collaborate closely with bioinformaticians, scientists, and laboratory staff to ensure reliable data processing and scalable analysis pipelines.
Experience with NGS sequencing workflows and bioinformatics tools is highly desirable, but not required.
Key Responsibilities
Software Development
● Design, develop, test, and maintain Java and Java EE web applications used to support sequencing lab workflows and laboratory data systems.
● Develop software tools to support sequencing data processing, data tracking, and laboratory operations.
● Participate in software design discussions and contribute to scalable and maintainable system architecture.
Workflow & Pipeline Development
● Develop and maintain bioinformatics pipelines for processing NGS data.
● Implement workflow automation using WDL (Workflow Description Language).
● Manage and support workflow execution through the Cromwell workflow engine.
● Optimize pipeline performance and ensure efficient processing of large sequencing datasets.
Database & Data Management
● Develop and execute SQL and PL/SQL queries to support data retrieval, transformation, and system integration.
● Support Oracle database systems, including writing queries, performing updates, and maintaining database integrity.
● Ensure reliable data storage, accessibility, and traceability across sequencing workflows.
Data Processing & Automation
● Develop and maintain Python and Bash scripts to automate data processing, analysis workflows, and system integration tasks.
● Implement data validation and quality checks to ensure accuracy and consistency of sequencing data.
Systems Integration
● Integrate laboratory information systems such as LIMS with sequencing platforms and downstream analysis pipelines.
● Support data flow between laboratory instruments, analysis systems, and databases.
Infrastructure & Deployment
● Support deployment and execution of pipelines in High Performance Computing (HPC) environments.
● Assist with cloud-based workflow deployment using AWS services.
● Build and maintain containerized software environments (e.g., Docker) to ensure reproducibility of computational workflows.
Troubleshooting & Support
● Monitor and troubleshoot pipeline execution issues and system performance problems.
● Identify and resolve bottlenecks in data processing pipelines.
● Provide technical support to scientists and lab personnel using the software systems.
Collaboration
● Work closely with bioinformaticians, data scientists, software engineers, and laboratory staff to understand workflow requirements.
● Translate scientific and operational needs into scalable software solutions.
● Participate in cross-functional discussions to improve sequencing workflow efficiency.
Documentation & Best Practices
● Maintain clear documentation of pipelines, applications, and database structures.
● Use Git repositories and version control best practices to manage software development.
● Support testing, validation, and continuous improvement of systems.
Required Qualifications
● Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Computational Biology, Software Engineering, or related field w/ MIN 3 years exp
● Strong experience with Oracle databases.
● Proficiency in SQL and PL/SQL.
● Experience with Java and Java EE web application development.
● Strong programming skills in Python.
● Experience with Bash scripting.
● Experience developing or supporting workflow pipelines using WDL.
● Familiarity with the Cromwell execution framework.
● Experience working with data processing pipelines or scientific data systems.
Preferred Qualifications
● Experience working in NGS sequencing or genomics environments.
● Familiarity with bioinformatics data processing workflows.
● Experience working in HPC computing environments.
● Experience with AWS cloud services.
● Experience with container technologies (Docker, Singularity, etc.).
● Experience using Git version control systems.
● Experience supporting LIMS systems or laboratory data platforms.
Skills & Competencies
● Strong problem-solving and troubleshooting skills.
● Ability to work independently in a fast-paced research environment.
● Strong communication skills and ability to collaborate with scientific teams.
● Ability to manage multiple priorities and support complex data workflows.
Interview process: 1. phone (15-20mins) 2. In-person (1 hr)
Hybrid- 2-3 days onsite
Function: gRED


APN Software services Inc. is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.”