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Genomic Data Analyst Jobs in Virginia (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Experience managing and integrating large biomedical or genomic datasets * Strong background in statistical analysis, data modeling, and computational methods * U.S. citizenship required; ability to ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Experience managing and integrating large biomedical or genomic datasets * Strong background in statistical analysis, data modeling, and computational methods * U.S. citizenship required; ability to ...

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

... genomic data on security best practices. * Risk Assessment & Gap Analysis: Institutional and national-level analysis of biosafety/biosecurity vulnerabilities. * Personnel Reliability & Insider Threat ...

CRDF Global

Biosecurity Expertise

Arlington, VA

... genomic data on security best practices. Risk Assessment & Gap Analysis: Institutional and national-level analysis of biosafety/biosecurity vulnerabilities. Personnel Reliability & Insider Threat ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

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

Deloitte

Epic Research & Genomics Analyst

Mclean, VA · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Research & Genomics Analyst communicates regularly with Engagement Managers (Directors), project ...

Deloitte

Epic Research & Genomics Analyst

Richmond, VA · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Research & Genomics Analyst communicates regularly with Engagement Managers (Directors), project ...

Deloitte

Epic Research & Genomics Analyst

Rosslyn, VA · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Research & Genomics Analyst communicates regularly with Engagement Managers (Directors), project ...

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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 1, 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 are the key skills and qualifications needed to thrive in the Genomic Data Analyst position, and why are they important?

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.

Is 40 too late for data science?

For a genomic data analyst, age is not a barrier to entering data science, as skills in programming, statistics, and domain knowledge are more important. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like Python, R, and machine learning techniques are key regardless of age.

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 does a genomic analyst do?

A genomic analyst studies genetic data to identify variations and patterns that can inform research or clinical decisions. They analyze DNA sequences using bioinformatics tools, interpret results, and often work with large datasets in laboratory or computational environments. Strong skills in genetics, programming, and data analysis are essential for this role.

What is a Genomic Data Analyst job?

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.

How to become a genomic data analyst?

To become a genomic data analyst, typically a bachelor's degree in biology, genetics, bioinformatics, or a related field is required, often supplemented by a master's degree or higher for advanced roles. Skills in programming languages such as Python or R, experience with genomic databases, and familiarity with bioinformatics tools are essential. Gaining practical experience through internships or research projects can also improve job prospects.

What is the salary of genomic data analyst?

The average salary for a genomic data analyst in the United States ranges from $70,000 to $100,000 per year, depending on experience, education, and location. Entry-level positions typically start around $60,000, while experienced analysts with advanced skills in bioinformatics and data analysis tools can earn over $110,000 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 July 2026, with employment types broken down into 67% Full Time, 7% Part Time, 2% Temporary, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Developer - Health & Genomic Data Protection Specialist

Snowrelic Inc

Mclean, VA • On-site

Contractor

Re-posted 3 days ago

Job description

We're seeking an experienced Security Developer to implement ’s proprietary Genomic Veil (SGV) and Veiled Insights Framework (VIF) system for secure genomic data encryption and analysis. The ideal candidate will have 5-7 years of experience in security engineering with specific expertise in cryptographic implementations, distributed systems, and healthcare data privacy. 

Key Responsibilities 

•              Develop and implement proprietary SGV architecture 

•              Build the cryptographic framework using AES-256 in GCM mode for securing genomic data 

•              Implement the key management system with master key encryption and secret splitting across AI agents 

•              Create the Veiled Insights Framework (VIF) that enables secure querying of encrypted twins 

•              Design and develop Gene Parser and Digital Twin Generator modules including GAN integration 

•              Establish secure storage for the distributed encrypted twins 

•              Develop protocols for secure aggregation of insights without full genome reconstruction 

•              Ensure all implementations are fully HIPAA-compliant and protect PHI according to regulations 

•              Conduct regular security assessments and create documentation for HIPAA compliance audits 

•              Collaborate with genomic researchers and data scientists to optimize the system for research usability 

Required Skills & Experience 

•              5-7 years as a security developer with focus on cryptographic implementations 

•              Strong experience with AES-256 encryption, particularly in GCM mode 

•              Demonstrated experience implementing HIPAA-compliant security systems 

•              Thorough understanding of Protected Health Information (PHI) requirements and safeguards 

•              Experience with building AI agents in healthcare data security and privacy regulations beyond HIPAA 

•              Experience implementing key management systems and secret sharing algorithms 

•              Proficiency in secure coding practices and identifying security vulnerabilities 

•              Experience with distributed systems and secure multi-party computation 

•              Strong programming skills in Python, Java, or C++ 

•              Experience with cloud security and securing data in distributed environments 

Preferred Qualifications 

•              Experience with Generative Adversarial Networks (GANs) or similar ML technologies 

•              Background in homomorphic encryption or secure multi-party computation 

•              Knowledge of differential privacy techniques 

•              Experience building security systems specifically for genomic data 

•              Proven track record of implementing systems that meet or exceed HIPAA Security Rule requirements 

•              Experience conducting HIPAA security risk assessments 

•              Experience developing de-identification strategies for PHI in research contexts 

•              Experience working with Institutional Review Boards (IRBs) on data security for human subjects research