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Manager Ngs Sequencing Jobs (NOW HIRING)

Prior NGS library preparation experience is strongly preferred. Experience operating sequencing ... Manager strongly prefers candidates with a Master's degree in Molecular Biology, Biochemistry ...

NGS Scientist

Boston, MA · On-site

$48 - $57/hr

Work in the sequencing space cross-functionally, with the ability to manage multiple requests and queues. * Deliver NGS data with clear expectations of timelines to multiple teams and promptly update ...

... time management, organizational and interpersonal skills * Travel ~ 50% within territory, with some trips outside territory * Typically requires a minimum of 5 years of NGS/Sequencing Sales ...

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Manager Ngs Sequencing information

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$24.5K

$59.5K

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How much do manager ngs sequencing jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager ngs sequencing in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What are some of the common challenges faced by a Manager in NGS Sequencing, and how can they be addressed?

A Manager in NGS (Next-Generation Sequencing) often encounters challenges such as maintaining high data quality, managing complex workflows, and ensuring timely project delivery. Keeping up with rapidly evolving technology and troubleshooting technical issues are also frequent hurdles. Effective communication with cross-functional teams—including bioinformaticians, lab technicians, and project stakeholders—is essential to overcome these challenges. Implementing standardized protocols, investing in ongoing staff training, and fostering a collaborative environment can significantly help in addressing these issues and ensuring project success.

What are the key skills and qualifications needed to thrive as a Manager NGS Sequencing, and why are they important?

To thrive as a Manager NGS Sequencing, you need a strong background in molecular biology, genomics, and experience with next-generation sequencing (NGS) technologies, often supported by an advanced degree in a relevant field. Familiarity with laboratory information management systems (LIMS), NGS platforms (such as Illumina or Ion Torrent), and quality control standards is essential. Strong leadership, problem-solving abilities, and effective communication are important soft skills for managing teams and projects. These skills ensure accurate sequencing results, efficient workflow, and high-quality data critical for research and clinical applications.

What is the difference between Manager Ngs Sequencing vs Laboratory Supervisor?

AspectManager Ngs SequencingLaboratory Supervisor
CredentialsBachelor's or Master's in Life Sciences, relevant sequencing certificationsBachelor's in Life Sciences, lab management experience
Work EnvironmentGenomics labs, research facilitiesClinical or research laboratories
Industry UsageBiotech, genomics companies, research institutionsHospitals, research labs, biotech firms

While both roles involve overseeing laboratory activities, the Manager Ngs Sequencing primarily focuses on managing next-generation sequencing projects and technical teams, whereas the Laboratory Supervisor oversees daily lab operations and staff management. The Manager Ngs Sequencing role emphasizes technical expertise in sequencing technologies, while the Laboratory Supervisor concentrates on operational efficiency and compliance.

What are Manager NGS Sequencing jobs?

Manager NGS Sequencing jobs involve overseeing teams and operations related to next-generation sequencing (NGS) in laboratory or research settings. These managers are responsible for ensuring high-quality sequencing workflows, managing laboratory staff, maintaining equipment, and ensuring compliance with regulatory standards. They also coordinate project timelines, troubleshoot technical issues, and often interact with clients or stakeholders to deliver sequencing results. The role requires expertise in molecular biology techniques, experience with NGS platforms, and strong leadership skills.
More about Manager Ngs Sequencing jobs
What cities are hiring for Manager Ngs Sequencing jobs? Cities with the most Manager Ngs Sequencing job openings:
What are the most commonly searched types of Ngs Sequencing jobs? The most popular types of Ngs Sequencing jobs are:
What states have the most Manager Ngs Sequencing jobs? States with the most job openings for Manager Ngs Sequencing jobs include:
What job categories do people searching Manager Ngs Sequencing jobs look for? The top searched job categories for Manager Ngs Sequencing jobs are:
Infographic showing various Manager Ngs Sequencing job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 7% Full Time, and 91% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $59,525 per year, or $28.6 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 11 hours 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.”