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Junior Bioinformatics Analyst Jobs in Virginia (NOW HIRING)

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

... and mentor a junior colleague through a tricky method in the afternoon. Throughout, you are ... You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS ...

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Junior Bioinformatics Analyst information

What does a junior bioinformatics analyst do?

A Junior Bioinformatics Analyst assists in the analysis and interpretation of biological data using computational tools and techniques. They often work with large datasets, such as genomic or proteomic information, to help researchers draw meaningful conclusions. Responsibilities may include running established software pipelines, maintaining databases, and preparing reports or visualizations. Typically, they work under the supervision of senior analysts or scientists and are expected to have foundational programming and data analysis skills.

What are the key skills and qualifications needed to thrive as a junior bioinformatics analyst?

To thrive as a Junior Bioinformatics Analyst, you need a strong background in biology, statistics, and programming (often with a relevant bachelor's or master's degree). Familiarity with bioinformatics tools (such as BLAST, GATK), scripting languages (like Python or R), and experience with databases and data visualization platforms are typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and collaborate with multidisciplinary teams. These skills enable accurate analysis of biological data, supporting research outcomes and advancing scientific discovery.

What are some common challenges faced by junior bioinformatics analysts when transitioning from academic projects to industry roles?

Junior Bioinformatics Analysts often find the shift from academic research to industry challenging due to differences in project timelines and deliverables. In industry, there is a greater emphasis on meeting deadlines, working collaboratively within multidisciplinary teams, and delivering actionable results to stakeholders. Analysts may also encounter a wider range of data types and must quickly adapt to proprietary tools or pipelines. However, this environment offers valuable opportunities to learn from experienced colleagues and develop technical as well as communication skills essential for career growth.

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

The most popular types of Bioinformatics Analyst jobs in Virginia are:

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For Junior Bioinformatics Analyst jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Junior Bioinformatics Analyst jobs in Virginia are:

What cities in Virginia are hiring for Junior Bioinformatics Analyst jobs?

Cities in Virginia with the most Junior Bioinformatics Analyst job openings:

Junior Bioinformatics Analyst jobs near you

Software Engineer with Security Clearance

Blackhawk Enterprise Incorporated

Charlottesville, VA • On-site

$109K - $131K/yr

Other

Re-posted 8 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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