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Bioinformatics Data Architect Jobs (NOW HIRING)

University of Utah

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Architect data pipelines connecting clinical EHR data sources with biospecimen repositories (e.g ... Senior Manager, Bioinformatics: Requires a bachelor's (or equivalency) + 8 years or a master's (or ...

University of Utah

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Architect data pipelines connecting clinical EHR data sources with biospecimen repositories (e.g ... Senior Manager, Bioinformatics: Requires a bachelor's (or equivalency) + 8 years or a master's (or ...

Saviance

Senior Bioinformatics Software Engineer

... deliver data-driven solutions. Responsibilities : • Build and maintain reliable software ... software architecture design best practices • Skilled in writing well-tested, maintainable ...

LuckyJay Consulting

In this role, you will lead the design and aid in the implementation of the data architecture ... As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most ...

E Logic

Lead Architect

Atlanta, GA · On-site

$130K/yr

E-logic is seeking a Lead Architect / Senior Software Developer to drive the ongoing modernization ... Prior experience in bioinformatics, molecular epidemiology, or scientific data processing is ...

Illumina

Staff Bioinformatics Scientist

Coronado, CA · On-site

$150 - $200/hr

Analyze data and optimize software at the algorithm, design, and/or source code level * Collaborate ... Ability to define the architecture, develop, and debug software applications * Strong problem ...

Merck & Co.

... Information Architect to lead the design, organization, and standardization of scientific data ... Bachelor's or Master's degree in Life Sciences, Computer Science, Bioinformatics, Information ...

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Bioinformatics Data Architect information

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How much do bioinformatics data architect jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for bioinformatics data architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is a bioinformatics data architect?

Bioinformatics Data Architects are professionals who design, develop, and manage data systems specifically for biological and biomedical information. They create and optimize data models, databases, and data flows to support research in genomics, proteomics, and other areas of life sciences. Their work ensures that large and complex biological datasets are stored, integrated, and accessed efficiently, enabling researchers to analyze data and extract meaningful insights. These specialists often collaborate with scientists, IT teams, and software developers to ensure data systems meet both technical and scientific requirements.

How does a bioinformatics data architect typically collaborate with research scientists and IT teams?

A Bioinformatics Data Architect regularly works with research scientists to understand their data needs and ensure the architecture supports complex biological analyses. They also collaborate closely with IT teams to design scalable, secure data storage solutions and integrate bioinformatics data pipelines with existing infrastructure. This often involves translating scientific requirements into technical specifications, troubleshooting data flow issues, and participating in cross-functional meetings to align on project goals. Strong communication and teamwork skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a bioinformatics data architect, and why are they important?

To thrive as a Bioinformatics Data Architect, you need expertise in database design, data modeling, bioinformatics tools, and a background in computer science or a related field. Familiarity with programming languages (such as Python or R), big data platforms, cloud computing, and experience with genomic databases are typically required, as well as certifications in data management or bioinformatics. Strong analytical thinking, problem-solving ability, and clear communication skills help professionals collaborate effectively with researchers and IT teams. These skills are crucial for developing scalable, reliable data infrastructures that support advanced biological research and discovery.

What are popular job titles related to Bioinformatics Data Architect jobs?

For Bioinformatics Data Architect jobs, the most frequently searched job titles are:

Software Engineer with Security Clearance

Charlottesville, VA • On-site

Blackhawk Enterprise Incorporated
11 - 50 employees
Learn more about Blackhawk Enterprise Incorporatedexternal

$109K - $131K/yr

Other

Re-posted 10 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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