Principal Technology Strategist, Data Analytical Systems

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  Define the enterprise strategy for Production-Grade Bioinformatics, ensuring pipelines are robust, reproducible, and version-controlled for clinical use.

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  Architect high-performance computing and/or cloud-native orchestration layers that can scale elastically with laboratory volume.

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  Drive "Build-vs-Buy" decisions for pipeline workflow managers (e.g., WDL, Nextflow, Snakemake) and secondary analysis acceleration technologies (e.g., DRAGEN, GPU-based processing).

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  Establish standards for data provenance and "Freeze-Down" protocols to ensure regulatory traceability across pipeline versions.

• Enable seamless integration between the "Dry Lab" results and “Wet Lab” QC metrics to deliver both operational and scientific insights to reviewers and lab directors.

• Lead the architectural design of Tertiary Analysis Platforms that integrate variant calling with large-scale knowledge bases for annotation and classification.

• Partner with R&D and Clinical Ops to automate the Variant Classification workflow (ACMG/AMP guidelines), reducing manual curator burden through intelligent software design.

• Architect the Clinical Reporting Engine, ensuring it can handle complex multi-omic data, longitudinal results (MRD & CGP), and dynamic template requirements for various global markets.

• Ensure data architectures comply with global privacy standards (HIPAA, GDPR) while maintaining the high availability required for clinical operations.

• Partner with the Lab Software Engineering leaders to ensure a seamless "hand-off" of data between the Wet Lab (LIMS) and the Dry Lab (Bioinformatics).

• Architect systems that support Continuous Validation, allowing for rapid pipeline updates without compromising clinical integrity or audit readiness.

• Lead the technical narrative for Data Analytical Systems during FDA (PMA/510k) submissions and CAP/CLIA inspections.

• Act as a mentor to the engineering and bioinformatics teams, fostering a culture of software engineering excellence within a scientific domain.

• 10+ years of experience in software architecture or technical strategy, with at least 5 years focused on Bioinformatics, Genomics, or Clinical Data Systems.

• Deep expertise in NGS Data Processing (FastQ to VCF) and the computational challenges of high-throughput primary and secondary analysis.

• Proven experience building or scaling Tertiary Analysis/Interpretation systems, knowledgebases (genetics and/or oncology), and clinical report-writing workflows.

• Exceptional ability to bridge the gap between Geneticists and Software Engineers.

• Experience with Oncology diagnostics, specifically MRD (Minimal Residual Disease) or CGP (Comprehensive Genomic Profiling).

• Familiarity with AI/ML integration into clinical decision support systems.

• Advanced degree (Masters or PhD) in Genetics, Computational Biology, or Computer Science.

This is a remote role. Periodic travel to San Carlos, CA and Austin, TX is expected to collaborate with the R&D and Clinical Lab Ops teams.

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.