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Next Generation Sequencing Data Analysis Jobs in Virginia

Tempus

Molecular Technologist I-III

Triangle, VA

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. Perform routine testing, quality control ...

Tempus

Molecular Technologist I-III

Triangle, VA · On-site

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. Perform routine testing, quality control ...

Tempus

Molecular Technologist I-III

Triangle, VA · On-site

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. Perform routine testing, quality control ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Expertise in next generation sequencing approaches and genomic data analysis. Experience with bioinformatic pipelines and command-line computational environments. Strong scientific writing and ...

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Next Generation Sequencing Data Analysis information

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$42.1K

$84.9K

$123.9K

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

As of Aug 25, 2026, the average yearly pay for next generation sequencing data analysis in Virginia is $84,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $99,100.00 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.

What are the most commonly searched types of Next Generation Sequencing Data Analysis jobs in Virginia?

The most popular types of Next Generation Sequencing Data Analysis jobs in Virginia are:

What are popular job titles related to Next Generation Sequencing Data Analysis jobs in Virginia?

For Next Generation Sequencing Data Analysis jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Next Generation Sequencing Data Analysis jobs in Virginia look for?

The top searched job categories for Next Generation Sequencing Data Analysis jobs in Virginia are:

Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Next Generation Sequencing Data Analysis job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,875 per year, or $40.8 per hour.

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Re-posted 26 days ago

Job description

Position Purpose:   

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

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

Essential Duties and Responsibilities:

  • Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
  • Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools.
  • Use established domain-specific open-source software and tools to manipulate and analyze genomic data.
  • Implement and execute data processing workflows and automated analytic pipelines.
  • ·     Apply literate‑programming methods to develop reproducible workflows that produce consistent, standardized tables and figures.
  • Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
  • Proficiency working with and developing using Docker and/or Singularity container technology.
  • Proficiency using version Control software (e.g., Git or similar) to manage programming code.
  • Proficiency with Python, Perl, or another scripting language.
  • Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Familiarity with developing and querying relational databases.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • BA or BS in Computer Science, Bioinformatics, or related field
  • Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
  • Experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze 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:

  • May serve as a bioinformatics task lead.

 

Working Conditions/ Equipment:

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