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Genome Sequencing Jobs in Virginia (NOW HIRING)

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

A variety of next-generation sequencing approaches may be employed, including ddRADseq, whole genome sequencing, targeted sequence capture, and other emerging genomic technologies. The successful ...

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Genome Sequencing information

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$32.1K

$113.7K

$155.1K

How much do genome sequencing jobs pay per year?

As of Aug 20, 2026, the average yearly pay for genome sequencing in Virginia is $113,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,225.00 and $140,530.00 per year, depending on experience, location, and employer.

What is genome sequencing?

A Genome Sequencing job involves analyzing DNA to determine the order of nucleotides in an organism's genome. Professionals in this field use advanced sequencing technologies to decode genetic information for research, medical diagnostics, or biotechnology applications. They may work in laboratories, hospitals, or research institutions, processing samples, interpreting data, and identifying genetic variations. This work is crucial for understanding diseases, developing treatments, and advancing personalized medicine.

What does a typical workday look like for someone in genome sequencing?

A typical workday in Genome Sequencing involves preparing and processing DNA samples, operating sequencing machines, and analyzing genetic data to ensure accuracy and quality. You may also collaborate with researchers, clinicians, or bioinformaticians to interpret findings and troubleshoot technical issues. Documentation and adherence to laboratory protocols are standard parts of the workflow. The role often includes both hands-on laboratory work and computer-based data analysis, offering a dynamic and intellectually stimulating environment.

What are the key skills and qualifications needed to thrive in genome sequencing, and why are they important?

To thrive in a Genome Sequencing role, a strong background in molecular biology, bioinformatics, and genetics is typically required, often supported by a relevant bachelor's or advanced degree. Experience with next-generation sequencing (NGS) platforms, laboratory information management systems (LIMS), and data analysis tools such as Python or R is essential. Keen attention to detail, strong problem-solving abilities, and effective teamwork skills help professionals excel in this field. These competencies enable accurate sequencing, reliable data interpretation, and successful collaboration within multidisciplinary research or clinical teams.

Is genome sequencing a good career?

Genome sequencing is a growing field within genomics and bioinformatics, offering opportunities in research, healthcare, and biotechnology. Careers typically require strong skills in molecular biology, data analysis, and familiarity with sequencing technologies like next-generation sequencing platforms. Job prospects are favorable due to increasing demand for personalized medicine and genetic research.

What are popular job titles related to Genome Sequencing jobs in Virginia?

For Genome Sequencing jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Genome Sequencing jobs in Virginia look for?

The top searched job categories for Genome Sequencing jobs in Virginia are:

Genome Sequencing jobs near you
Infographic showing various Genome Sequencing job openings in Virginia as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $113,695 per year, or $54.7 per hour.

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Re-posted 21 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.