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Bioinformatic Engineer Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Bioinformaticist

Reston, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

Booz Allen Hamilton

Bioinformaticist

Charlottesville, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Proficiency in at least two programming languages: Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and ...

CRDF Global

Biosecurity Expertise

Arlington, VA

... programming that aims to promote responsible science and technology development and prevent the ... Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

... programming that aims to promote responsible science and technology development and prevent the ... Bioinformatics and Emerging Biotechnologies * Synthetic biology, gene editing (e.g., CRISPR ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Proficiency in at least two programming languages: Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and ...

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All JobsBioinformatic Engineer JobsBioinformatic Engineer Jobs in Virginia

Bioinformatic Engineer information

See Virginia salary details

$32.7K

$88.4K

$140.8K

How much do bioinformatic engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for bioinformatic engineer in Virginia is $88,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $108,100.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.

What are some common challenges faced by Bioinformatic Engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatic engineers. Professionals in this field will continue to develop, interpret, and validate computational models, requiring expertise in biology, programming, and data analysis. AI complements human skills rather than replacing them entirely in bioinformatics roles.

What are the key skills and qualifications needed to thrive as a Bioinformatic Engineer, and why are they important?

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those with significant leadership responsibilities may also reach this compensation level.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those in leadership positions may also reach this compensation level.

What are Bioinformatic Engineers?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.
What are popular job titles related to Bioinformatic Engineer jobs in Virginia? For Bioinformatic Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Engineer jobs in Virginia look for? The top searched job categories for Bioinformatic Engineer jobs in Virginia are:
What cities in Virginia are hiring for Bioinformatic Engineer jobs? Cities in Virginia with the most Bioinformatic Engineer job openings:
Bioinformatic Engineer jobs near you
Software Engineer with Security Clearance

Software Engineer with Security Clearance

Blackhawk Enterprise Incorporated

Charlottesville, VA • On-site

$109K - $131K/yr

Other

Posted 2 days ago

Job description

About the Role
We are seeking an experienced Senior Data Engineer to lead the design, development, and maintenance of our mission-critical data infrastructure, with a focus on bioinformatics and the processing of large-scale genomic data. This role requires a hands-on engineer who can architect robust data solutions, establish best practices for data management, and ensure the scalability and reliability of systems supporting secure government operations. You will be responsible for mentoring team members and driving technical excellence across our data ecosystem.
Primary Responsibilities
Design, build, and maintain scalable, reliable, and performant data pipelines for bioinformatics and genomic data.
Architect and implement data models and database schemas to meet application and analytics requirements.
Lead technical decision-making for the evolution and modernization of our data technology stack.
Establish and enforce data engineering standards, best practices, and architectural patterns.
Mentor junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Optimize and scale our data infrastructure, including microservices, databases, and real-time data streams.
Ensure security compliance and implement secure data handling practices for classified environments.
Troubleshoot and resolve complex production issues across distributed data systems.
Required Technical Skills
Core Languages: Expert-level proficiency in Python and/or Javascript.
Scientific Data Expertise:
Proven experience in bioinformatics, scientific data management, or a related domain involving the processing and analysis of large-scale datasets.
Data Engineering & Processing:
Workflow Orchestration: Deep experience with tools like Apache Airflow, Prefect, or Dagster.
Big Data Frameworks: Hands-on experience with processing frameworks such as Apache Spark.
Stream & Message Brokers: Experience with real-time data streaming using Apache Kafka, RabbitMQ, AWS SQS/SNS, or Azure Service Bus.
Data Storage & Databases:
SQL Databases: Expertise in relational databases (PostgreSQL, MySQL, Oracle) including advanced query optimization and schema design.
Object Stores?
Search & Indexing: Familiarity with search engines like Elasticsearch or OpenSearch.
Cloud & Infrastructure:
Cloud Platforms: Strong experience with services from AWS, Azure, or GCP.
DevOps: Experience with automation tools like Jenkins, GitLab CI/CD, or GitHub Actions as well as infrastructure tools like Helm and Terraform.
Preferred Qualifications
Experience designing event-driven architectures and microservices.
Knowledge of data governance, data quality, and observability frameworks.
Background in migrating legacy data systems to modern, scalable architectures.
Deep understanding of database performance tuning: indexing, partitioning, and connection pooling.
Experience with government security compliance (STIG, ATO, FedRAMP).
Front-end experience with frameworks like React, Vue, or Angular is a plus but not required.
Soft Skills
Strong communication skills for technical documentation and cross-team collaboration.
Ability to balance technical debt with feature delivery in a pragmatic way.
Experience leading technical discussions and making architectural decisions.
Comfortable working in an Agile/Scrum environment.
Education & Experience
Bachelor's degree in Computer Science, Bioinformatics, Engineering, or a related field (or equivalent experience).
7+ years of professional software/data engineering experience.
3+ years in a senior or lead engineering role focused on data systems.
Active security clearance or ability to obtain one (required for DoD work).

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