Genomic Diagnostics Platform Engineer - Software Engineer

Join our team at the intersection of engineering and science. We're building a genomic diagnostics platform that transforms raw sequencing data into clinically actionable insights—and we need a talented engineer to help us scale it.

You'll own critical pieces of our backend infrastructure and analytical pipelines, working alongside scientists and bioinformaticians to solve complex problems in a regulated clinical environment. If you thrive on building systems that process massive datasets with precision and reproducibility, this is your opportunity.

What You'll Do

• Architect and maintain production-grade analytical pipelines for genomic data—from ingestion through transformation, validation, and distributed processing
• Build and optimize cloud-based backend systems (GCP preferred) designed for high-volume sequential data processing
• Work with workflow orchestration tools (WDL, Cromwell, Nextflow, Airflow, or similar) to automate and scale scientific workflows
• Ensure pipeline reproducibility through containerization (Docker) and rigorous version control practices
• Maintain strict PHI handling, data privacy, and compliance standards within our clinical environment
• Partner with scientists and bioinformaticians to translate analytical requirements into scalable, production-ready solutions

What You Bring

• Strong foundation in computational sciences, bioinformatics, or a related quantitative field
• Proven track record building and deploying data pipelines in production scientific environments
• Hands-on experience with large-scale genomic or scientific datasets
• Proficiency in Python, Java, or similar languages
• Working knowledge of cloud infrastructure (GCP ideal) and distributed processing frameworks
• Familiarity with containerization, CI/CD, and reproducible research practices
• Understanding of data privacy requirements and PHI handling in clinical/research settings
• Ability to communicate effectively across technical and scientific teams

Nice to Have

• Background in biotech, diagnostics, or genomics
• Experience with HPC-style workflows and batch processing at scale
• Exposure to regulated clinical environments (CLIA, CAP, HIPAA)