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Genomic Data Analyst Jobs in Virginia (NOW HIRING)

Varsity Tutors

Genetics Tutor

Norfolk, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Alexandria, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Richmond, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Salem, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Leesburg, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Fairfax, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Salesforce, Inc.

Senior Data Scientist (SMTS)

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Team The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an ... based analysis, and correlation. * Related experience in genomics, high-speed trading, or other ...

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Showing results 21-40

All JobsGenomic Data Analyst JobsGenomic Data Analyst Jobs in Virginia

Genomic Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do genomic data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for genomic data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a genomic data analyst?

A Genomic Data Analyst interprets and analyzes large-scale genomic data to derive meaningful biological insights. They work with datasets from DNA sequencing, gene expression studies, and other genomic technologies to identify patterns, mutations, or associations related to health and disease. Using bioinformatics tools, programming languages like Python or R, and statistical techniques, they help researchers, healthcare professionals, and biopharmaceutical companies make data-driven decisions. Their role is essential in fields such as precision medicine, drug discovery, and genetic research.

What are the typical daily responsibilities of a genomic data analyst?

As a Genomic Data Analyst, your typical day involves processing and analyzing large-scale genomic datasets using specialized software and scripting languages to identify genetic variations or patterns. You might collaborate with laboratory scientists, clinicians, and other data professionals to design studies, interpret results, and ensure data accuracy. Tasks often include creating data visualizations, generating detailed reports, and troubleshooting technical issues in bioinformatics pipelines. This role requires a balance of independent data analysis work and teamwork to drive research or clinical projects forward.

What are the key skills and qualifications needed to thrive as a genomic data analyst?

To thrive as a Genomic Data Analyst, you need strong skills in bioinformatics, statistical analysis, and a background in genetics or a related field, usually supported by a degree in biology, data science, or computational science. Familiarity with tools like R, Python, UNIX/Linux systems, and genomic databases, as well as experience with next-generation sequencing (NGS) data analysis pipelines, are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data accurately and explain findings to interdisciplinary teams. These skills are crucial for translating complex genomic datasets into actionable insights that inform research and clinical decisions.

How much do genomic data analysts make?

Genomic data analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in bioinformatics and programming can earn over $100,000 annually.

What are the most commonly searched types of Genomic Data Analyst jobs in Virginia?

The most popular types of Genomic Data Analyst jobs in Virginia are:

What are popular job titles related to Genomic Data Analyst jobs in Virginia?

For Genomic Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Genomic Data Analyst jobs in Virginia look for?

The top searched job categories for Genomic Data Analyst jobs in Virginia are:

Genomic Data Analyst jobs near you
Infographic showing various Genomic Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Bioinformatics Full-Stack Developer

Signature Science LLC

Charlottesville, VA • On-site

$105K/yr

Full-time

Re-posted 7 days ago

Job description

Normal 0 false false false EN-US JA AR-SA
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.

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