Senior Software Engineer, Bioinformatics

Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant® is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer.

For more information, visitguardanthealth.comand follow the company onLinked

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We are seeking a Senior Software Engineer, Bioinformatics to design, develop, and maintain scalable software solutions supporting bioinformatics, life sciences, and clinical diagnostic applications. This role is ideal for an experienced software engineer who combines strong full-stack development skills with an interest in applying modern software engineering and AI‑assisted development practices to complex scientific and clinical workflows. The successful candidate will be comfortable working in a fast‑paced environment, collaborating with geographically distributed and cross‑functional teams, and building high‑quality software where reliability, traceability, and maintainability are essential.

• Design, develop, test, deploy, and maintain robust software applications and services supporting bioinformatics and clinical workflows.
• Build scalable backend services and APIs using Python and modern web frameworks such as Django and FastAPI.
• Develop responsive and maintainable user interfaces using modern frontend technologies such as React.
• Design and optimize relational data models and database solutions using PostgreSQL.
• Architect, deploy, and operate applications and services in AWS environments.
• Apply sound software engineering practices including automated testing, code reviews, CI/CD, observability, security, and infrastructure automation.
• Partner with bioinformatics scientists, computational biologists, product managers, quality teams, and other stakeholders to translate scientific and business requirements into reliable software solutions.
• Develop software capable of supporting complex scientific datasets, analytical workflows, and computational pipelines.
• Use modern AI‑assisted software development tools to improve engineering productivity, including code generation, code review, testing, debugging, technical documentation, and developer workflows.
• Evaluate emerging AI development tools and establish effective practices for their responsible use within the software development lifecycle.
• Produce clear technical documentation, architecture specifications, design documents, and operational procedures.
• Contribute to architectural decisions and help establish software development standards and engineering best practices.
• Troubleshoot complex production issues and drive root‑cause analysis and long‑term corrective solutions.
• Work effectively across multiple time zones and with geographically distributed engineering, scientific, and business teams.
• Mentor other engineers and contribute to the technical growth of the broader engineering organization.

• Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, Computational Biology, or a related technical discipline, or equivalent practical experience.
• 5+ years of professional software development experience, with significant hands‑on development experience using Python.
• Strong experience developing production applications using Python web frameworks such as Django, FastAPI, or similar…