Bioinformatics Software Architect

Overview

Responsibilities

• Define the high-level technical architecture for genomics and proteomics data analysis platforms.
• Select and integrate cloud infrastructure components to ensure high availability and scalability for research tools.
• Collaborate with computational biologists to implement and optimize complex sequence alignment algorithms.
• Establish data governance standards to ensure the privacy and integrity of sensitive patient genetic information.
• Evaluate and mentor engineering teams on the implementation of microservices and containerization strategies.
• Lead the migration of legacy bioinformatics tools to modern, distributed computing environments.

Qualifications

• A Master’s or PhD in Computer Science, Bioinformatics, or a related quantitative field.
• Extensive experience in software engineering with a focus on system design and architectural patterns.
• Proficiency in high-performance programming languages such as Python, C++, or Rust.
• Deep understanding of cloud-native technologies including Kubernetes and distributed data processing frameworks.
• Proven track record of managing large-scale biological or medical datasets.

Nice to have

• Experience with machine learning frameworks applied to protein folding or drug discovery.
• Familiarity with regulatory compliance standards like HIPAA or GDPR in a clinical context.
• Contributions to open-source bioinformatics software libraries or academic publications.
• Certification in professional cloud architecture from providers like AWS, GCP, or Azure.

Work environment

• Work is typically performed in a professional office or research facility with options for remote flexibility.
• The culture is highly collaborative, involving frequent coordination between software engineers and research scientists.
• Standard full-time hours are common, though project launches or data processing cycles may require occasional extra time.
• Tools include high-performance computing clusters, cloud platforms, and specialized version control systems.
• Travel is minimal, usually limited to major scientific or technology conferences.

Benefits & growth

• Compensation often includes a high base salary supplemented by annual performance bonuses and stock options.
• Career progression typically leads to executive roles such as Chief Technology Officer or VP of Research Engineering.
• Professional development is supported through attendance at international bioinformatics and software architecture symposiums.
• Health, dental, and retirement benefits are standard, often accompanied by generous paid time off policies.