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Manager Next Generation Sequencing Data Analysis Jobs

Scientist - Fellow

Lewisville, TX · On-site

$120 - $160/hr

Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data ... Serves as consultant to top management in long‑range company planning concerning new or projected ...

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data ... Entering clinical patient data into the Laboratory Information Management system. Obtain 12 ...

... Next Generation Sequencing (NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great ...

... year(s) experience analyzing next-generation sequencing data * Recent coding experience with a ... Strong communicator with ability to maintain open communication with internal employees, managers ...

... next-generation sequencing data. • Familiarity with Microsoft SQL Server and database management ... analytical and troubleshooting skills. • Strong communication and teamwork abilities. • ...

Shift - Sunday-Wednesday (2:00pm-12:30am) Responsibilities: • Provide daily oversight of a cutting-edge molecular workflow to provide high-quality next-generation sequencing data with rapid ...

New

Provide daily oversight of a cutting-edge molecular workflow to provide high-quality next-generation sequencing data with rapid turnaround times, including tumor genomic, germline genomic, and ...

New

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Manager Next Generation Sequencing Data Analysis information

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$59.5K

$116K

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

As of Sep 7, 2026, the average yearly pay for manager next generation sequencing data analysis 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 is the difference between Manager Next Generation Sequencing Data Analysis vs Bioinformatics Scientist?

AspectManager Next Generation Sequencing Data AnalysisBioinformatics Scientist
CredentialsBachelor's or Master's in Bioinformatics, Genetics, or related field; leadership experienceMaster's or PhD in Bioinformatics, Computational Biology, or related field
Work EnvironmentTeam leadership, project management, overseeing analysis teamsHands-on data analysis, algorithm development, research-focused
Industry UsagePharmaceuticals, biotech, clinical labs, research institutions

The Manager Next Generation Sequencing Data Analysis primarily oversees sequencing data projects, manages teams, and ensures timely delivery. In contrast, a Bioinformatics Scientist focuses on developing algorithms, analyzing complex datasets, and conducting research. Both roles require strong bioinformatics skills, but the manager role emphasizes leadership and project management, while the scientist role emphasizes technical expertise and innovation.

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Infographic showing various Manager Next Generation Sequencing Data Analysis job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

Bioinformatics Full-Stack Developer

Signature Science, LLC

Austin, TX • On-site

Full-time

Re-posted 25 days ago


Job description

Position Purpose:   

The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems. 
             

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders. 

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

Supervisory Responsibilities:

  • Serve as a task leader within one or more projects.

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include traditional office environments with extended sedentary periods required for code development and testing.
Employment Type: FULL_TIME