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Bioinformatic Engineer Jobs in Virginia (NOW HIRING)

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatic Engineer information

See Virginia salary details

$32.7K

$88.4K

$140.8K

How much do bioinformatic engineer jobs pay per year?

As of Aug 14, 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 are 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.

What skills and qualifications are needed to thrive as a bioinformatic engineer?

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 is a bioinformatic engineer?

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 cities in Virginia are hiring for Bioinformatic Engineer jobs?

Cities in Virginia with the most Bioinformatic Engineer job openings:

Software Engineer with Security Clearance

Blackhawk Enterprise Incorporated

Charlottesville, VA โ€ข On-site

$109K - $131K/yr

Other

Re-posted 13 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).