Senior Software Engineer, Bioinformatics
About The Position
Guardant Health is seeking a Senior Software Engineer, Bioinformatics to design, develop, and maintain scalable software solutions for bioinformatics, life sciences, and clinical diagnostic applications. The role combines full-stack software engineering with modern AI-assisted development to support complex scientific and clinical workflows. The successful candidate will work in a fast-paced environment with geographically distributed and cross-functional teams, building reliable, traceable, and maintainable software. The engineer will develop backend services and APIs, responsive user interfaces, relational data models, and cloud-hosted applications. They will apply software engineering practices such as automated testing, code review, CI/CD, observability, security, and infrastructure automation. The position also involves translating scientific and business needs into software, supporting complex datasets and computational pipelines, evaluating responsible uses of AI development tools, documenting systems, contributing to architecture and engineering standards, resolving production issues, and mentoring engineers. The role is hybrid for eligible onsite employees as determined by management and related policies. U.S. employees living within 50 miles of a Guardant facility are required to work onsite Mondays, Tuesdays, and Thursdays, with work-from-home days for individual-focused work. Most work is performed in a desk or office environment, with possible exposure to high noise levels, fumes, and biohazard material in a laboratory environment. Employees may need to lift routine office supplies and use office equipment, and must be able to sit for extended periods. A background screening, including criminal history, is required. Guardant Health is an Equal Opportunity Employer and provides reasonable accommodations in its hiring processes.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, Computational Biology, or a related technical discipline, or equivalent practical experience.
- At least 5 years of professional software development experience, including significant hands-on Python development.
- Strong experience developing production applications with Python web frameworks such as Django, FastAPI, or similar technologies.
- Experience developing modern web applications using React, JavaScript or TypeScript, HTML, and CSS.
- Strong experience with relational databases, particularly PostgreSQL, including schema design, queries, performance optimization, and data integrity.
- Hands-on experience developing, deploying, and supporting applications in AWS.
- Strong understanding of RESTful APIs, distributed systems, service-oriented architectures, and modern application design principles.
- Experience with automated testing, source control, code review, CI/CD, and modern DevOps practices.
- Demonstrated experience using AI-enabled software engineering tools for coding, testing, debugging, code review, and documentation.
- Strong problem-solving and analytical skills, including ability to work on complex technical problems with limited supervision.
- Excellent written and verbal communication skills.
- Ability to thrive in a fast-paced, evolving environment and manage multiple priorities.
- Demonstrated ability to collaborate with geographically distributed and cross-functional teams.
Nice To Haves
- Experience developing software in life sciences, biotechnology, genomics, healthcare, or clinical diagnostics.
- Familiarity with bioinformatics workflows, genomic data, computational pipelines, or scientific computing environments.
- Experience developing software in a regulated environment, particularly systems subject to FDA requirements or other healthcare or life-sciences quality regulations.
- Familiarity with regulated-product software practices, including requirements traceability, design controls, verification and validation, change control, and documentation.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with AWS services such as ECS/EKS, Lambda, RDS, S3, CloudWatch, IAM, and related cloud infrastructure.
- Experience with infrastructure-as-code technologies such as Terraform or AWS CDK.
- Experience designing systems that process large scientific or clinical datasets.
- Familiarity with data privacy, security, and compliance considerations associated with clinical or healthcare data.
Responsibilities
- Design, develop, test, deploy, and maintain 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, 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 automated testing, code reviews, CI/CD, observability, security, and infrastructure automation.
- Collaborate with bioinformatics scientists, computational biologists, product managers, quality teams, and other stakeholders to translate scientific and business requirements into reliable software.
- Develop software supporting complex scientific datasets, analytical workflows, and computational pipelines.
- Use AI-assisted software development tools for code generation, code review, testing, debugging, technical documentation, and developer workflows.
- Evaluate emerging AI development tools and establish effective practices for their responsible use in the software development lifecycle.
- Produce technical documentation, architecture specifications, design documents, and operational procedures.
- Contribute to architectural decisions and establish software development standards and engineering best practices.
- Troubleshoot complex production issues and drive root-cause analysis and long-term corrective solutions.
- Work across time zones with geographically distributed engineering, scientific, and business teams.
- Mentor other engineers and contribute to the technical growth of the engineering organization.
- Critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
