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Bioinformatics Data Architect Jobs (NOW HIRING)

Booz Allen Hamilton

$100 - $125/hr

Apply a bioinformatics lens to gather, analyze, and translate scientific and operational ... data and system architectural models and requirements * Knowledge of big data, analytics, or ...

New

NYULMC

Sr. Bioinformatics Developer

New York, NY · On-site

Architect solutions that support future extensibility to additional data sources and analysis ... Master's degree in Bioinformatics, Computational Biology, Computer Science, or related field ...

Natera

Director of Data Science and Bioinformatics

OR · On-site +1

Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.

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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:

Senior Bioinformatics Software Engineer

Houston, TX • On-site

Morpheus Group
See more jobs at Morpheus Groupexternal

Full-time

Re-posted 11 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences