Senior Staff Systems Architect – Data Quality

San Diego Stealth Startup; San Diego (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

San Diego Stealth Startup seeks a Senior Staff Systems Architect, Data Quality to drive high-throughput data generation for our genomic platform. You will own models for data quality, signal-to-noise, throughput, and runtime, and collaborate with scientists and engineers to diagnose and resolve gaps between predictions and experiments.

The ideal candidate combines strong analytical skills with experience in biological data systems, AI-enabled analysis, and cross-functional collaboration across

Qualifications

• 12+ years of data analysis experience for BS, 10+ years for MS, or 6+ years for PhD.
• Experience designing experiments and integrating complex platform systems.
• Proven cross-functional collaboration with engineering, scientific and informatics teams.
• Experience developing and owning system-level models and budgets for biological research platforms.
• Experience using AI tools to prototype and deploy analysis pipelines.
• Proficiency in Python, MATLAB, C++ or similar language.

Responsibilities

• Own system-level models for data quality, signal-to-noise ratio, throughput, and other key performance metrics.
• Analyze and resolve complicated integration challenges involving hardware, software, biology, and informatics using a data-based approach.
• Lead multi-disciplinary structured problem-solving teams as needed to resolve the most serious issues.
• Design and perform systematic experiments to identify critical parameters and optimize performance and reliability.
• Develop metrics and diagnostics to guide the work of the hardware and chemistry teams and give them key insights into the results of their experiments.

Skills

Python

MATLAB

C++

Education

Biophysics/Physics/Data Science/Biomedical Engineering degree

Job description

Senior Staff Systems Architect – Data Quality

Job Type: Full-Time, Onsite

Position Overview

We are seeking a Senior Staff Systems Architect, Data Quality to join our rapidly growing team. You will be at the heart of our efforts to develop a high-throughput sample-to-answer platform.

You will work with a diverse group of scientists and engineers to ensure that the system generates the highest possible quality data at the maximum achievable rate. This will require developing models and budgets describing key aspects of our platform including signal-to-noise ratio, throughput, and runtime. When the performance of the system does not match the expectations of the model, you will work with a multi-disciplinary team to identify root causes and resolve the issue. You will use a data-based approach to identify critical parameters, model expected outcomes, and analyze experimental results. You will use the tools you build attacking problems to create metrology and diagnostics systems that will monitor system health and alert the team to potential problems before they happen. The problems that we will overcome are varied and subtle, requiring a combination of creative thinking and thoughtful implementation of well-known problem-solving techniques. The ideal candidate is an analytical polyglot – able and willing to contribute to a diverse set of challenges ranging from sensor crosstalk nonuniformity to differential oligo binding affinities.

Responsibilities

• Own system-level models for data quality, signal-to-noise ratio, throughput, and other key performance metrics.
• Analyze and resolve complicated integration challenges involving hardware, software, biology, and informatics using a data-based approach.
• Lead multi-disciplinary structured problem-solving teams as needed to resolve the most serious issues.
• Design and perform systematic experiments to identify critical parameters and optimize performance and reliability.
• Develop metrics and diagnostics to guide the work of the hardware and chemistry teams and give them key insights into the results of their experiments.

Qualifications

• BS, MS or PhD Biophysics, Physics, Data Science, Biomedical Engineering or related field.
• BS and 12+, MS and 10+, or PhD and 6+ years of experience in data analysis, experimental design and integration of complex scientific platforms.
• Proven ability to collaborate cross-functionally with engineering, scientific, and informatics teams.
• Experience developing and owning system-level models and budgets of complex biological research platforms.
• Experience using AI tools to quickly prototype and deploy analysis pipelines.
• Proficiency in Python, MATLAB, C++ or similar language.

Preferred Qualifications

• Familiarity with high-resolution optical systems and associated data pipelines.
• Experience with Critical Parameters Management (CPM), Six Sigma, Quality by Design (QbD), or similar methodologies.
• Record of innovation through publications, patents or open-source contributions.

Why Join Us

• Influence the foundational technologies and strategies of a company poised to shape the future of clinical genomics and healthcare.
• Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued.
• Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering.
• Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.

We are an equal opportunity employer. We thrive on diversity and collaboration.