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Next Generation Sequencing Data Analysis Jobs (NOW HIRING)

IHRC INCORPORATED

Bioinformatician II

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

IHRC, Inc.

Bioinformatician II

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

The Scientistwill be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing ...

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

The Scientist will be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing ...

Quest Diagnostics

Scientist - Fellow

Lewisville, TX · On-site

Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel ...

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How much do next generation sequencing data analysis jobs pay per year?

As of Sep 6, 2026, the average yearly pay for next generation sequencing data analysis in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is next generation sequencing data analysis?

A Next Generation Sequencing (NGS) Data Analysis job involves processing and interpreting large-scale sequencing data generated by NGS technologies. Professionals in this role use bioinformatics tools, statistical methods, and programming languages like Python or R to analyze DNA or RNA sequences, identify genetic variations, and extract meaningful biological insights. They may work in research institutions, healthcare, or biotechnology companies to support genomics research, clinical diagnostics, or drug discovery. Strong skills in data management, pipeline development, and visualization are crucial for success in this field.

What does someone working in next generation sequencing data analysis do?

Professionals in NGS Data Analysis typically spend their days processing raw sequencing data, performing quality control checks, and developing or applying algorithms to analyze genetic information. They are often responsible for interpreting results, preparing detailed reports, and communicating findings with research scientists, clinicians, or project stakeholders. Collaboration is key, as this role frequently interacts with laboratory personnel, data scientists, and software engineers to ensure seamless data integration and workflow optimization. Depending on the organization, analysts may also be involved in developing custom pipelines and contributing to scientific publications or presentations. This combination of technical and collaborative tasks makes the role both dynamic and impactful for driving scientific discovery or clinical diagnostics.

What are the key skills and qualifications needed for next generation sequencing data analysis?

To excel in Next Generation Sequencing (NGS) Data Analysis, you need a strong background in bioinformatics, genomics, and statistical analysis, typically supported by advanced degrees in biology, bioinformatics, or a related field. Familiarity with tools such as Python, R, Linux/UNIX environments, and experience with NGS platforms (e.g., Illumina, PacBio) and databases is highly valuable. Analytical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and reporting findings. These skills are essential to ensure accurate, reproducible results and to facilitate collaborative decision-making in multidisciplinary research or clinical teams.

What is next generation sequencing data analysis course?

A next generation sequencing data analysis course is an educational program that teaches how to process, interpret, and analyze large-scale genomic data generated by next generation sequencing (NGS) technologies. It typically covers bioinformatics tools, data management, and statistical methods essential for understanding sequencing results in research or clinical settings.
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Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Next Generation Sequencing Data Analysis job openings in the United States as of August 2026, with employment types broken down into 55% Full Time, 18% Part Time, and 27% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $85,609 per year, or $41.2 per hour.

Software Engineer - Bioinformatics /NGS Sequencing Systems

APN Software Services Inc

South San Francisco, CA • On-site

Contractor

Re-posted 29 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.”