Staff Software Engineer
$140,000–$175,000 year
Remote · Brisbane, California, United States
Job Summary
Staff Software Engineer with deep expertise in Laboratory Information Management Systems (LIMS) to design, configure, and scale software supporting end-to-end lab workflows. Lead design, configuration, and customization of LIMS platforms (e.g., Labbit, LabAdvantage) to meet regulatory and operational needs; serve as SME for laboratory operations and healthcare terminology; gather requirements from lab users and map workflows to reliable, compliant configurations; build extensions, integrations, and automation around LIMS; integrate LIMS with instruments, ELNs, EMRs/EHRs, data warehouses, and APIs; ensure compliance with CLIA, CAP, HIPAA, and 21 CFR Part 11; mentor junior engineers and collaborate with QA, DevOps, and product teams across testing, validation, deployment, and ongoing support.
Required Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 8 to 10+ years of professional software engineering experience
- Extensive experience configuring and customizing LIMS platforms such as Labbit, LabAdvantage, or comparable systems
- Strong understanding of laboratory workflows, including sample lifecycle management, testing processes, and results management
- Experience building integrations and APIs (REST, HL7, FHIR, or proprietary lab interfaces)
- Proficiency in at least one modern programming language (e.g., Java, C#, Python, JavaScript)
- Strong SQL and data modeling skills for complex scientific/clinical datasets
- Ability to translate lab requirements into technical designs and system configurations
- Excellent communication skills with technical and non-technical stakeholders
- Experience with healthcare terminology, data standards, and regulatory constraints (CLIA, CAP, HIPAA, 21 CFR Part 11)
- Experience with validation documentation and regulated software development (preferred)
- Experience working in agile development environments (preferred)
- Exposure to cloud-based LIMS or SaaS laboratory platforms (preferred)
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