Senior Genomic Diagnostics Engineer - Biotech Platform

About the Role

We are seeking a highly skilled Senior Genomic Diagnostics Engineer to join our team at Avlyn Group. This role is focused on developing and maintaining a genomic diagnostics platform that transforms raw genomic and scientific datasets into clinically actionable insights. As a Senior Genomic Diagnostics Engineer remote, you will work closely with scientists and bioinformaticians to build scalable, production-ready pipelines in a regulated clinical environment.

What You'll Do

• Develop and maintain a genomic diagnostics platform and associated backend systems.
• Lead or own pipeline and workflow architecture in production environments.
• Design, implement, and optimize analytical pipelines for large-scale scientific or genomic datasets, including ingestion, transformation, validation, and distributed processing.
• Work with workflow orchestration tools such as WDL, Cromwell, Nextflow, Airflow, or equivalents.
• Build cloud-based backend systems, ideally on GCP, capable of handling large volumes of sequential data processing.
• Ensure containerization and reproducibility of pipelines using Docker or other container technologies.
• Maintain strong PHI handling, data privacy, and compliance practices in scientific or clinical environments.
• Collaborate with cross-functional teams to translate complex analytical requirements into scalable engineering solutions.

Requirements

• 7-10+ years of software engineering experience in life sciences, diagnostics, scientific computing, or genomics.
• 6+ years of professional software engineering experience with a focus on scientific computing, analytical pipelines, HPC-style workflows, or large-scale data ingestion systems.
• Demonstrated ability to lead or own pipeline and workflow architecture in production environments.
• Expertise with large scientific or genomic datasets, including ingestion, transformation, validation, and distributed processing.
• Experience processing raw scientific data such as genomic reads, image data, or sensor data.
• Deep experience with workflow orchestration (WDL, Cromwell, Nextflow, Airflow, or equivalent).
• Proven background building cloud-based backend systems in GCP, supporting large volumes of sequential data processing.
• Experience with GCP Batch or distributed compute frameworks.

Nice to Have

• Familiarity with scientific computing libraries (PyTorch, NumPy, Pandas, statistical modeling).
• Expertise in monitoring scientific workloads at scale (Prometheus, Grafana, or equivalent).

What We Offer

• Competitive salary of $220,000-250,000 base annually + bonus + equity.
• Hybrid work arrangement with relocation assistance and visa sponsorship available.
• Opportunities for professional growth and development in a dynamic startup environment.
• A collaborative and inclusive work culture that values diversity and equity.