We have an exciting opportunity for a Solution Architect to join our Diagnostics R&D Instrumentation team. We are looking for a highly motivated individual with strong leadership skills, hands-on experience and a strategic architecture mindset and a proven track record of transforming complex scientific demands into scalable, production-grade software and data ecosystems.

The Opportunity:

In this role, you will bridge the gap between cutting-edge science and enterprise engineering - breaking down data silos, optimizing high-throughput AI/ML pipelines, and championing FAIR data principles across our global research environment.

Your responsibilities include:

• Solution Design: architect scalable, secure, and cost-effective hybrid-cloud solutions tailored to complex scientific business needs, that consolidate fragmented R&D silos into machine-ready "Data Product" ecosystems with automated data lineage.

• Technical Leadership: guide development teams in cloud-native application implementation, system migration, and advanced pipeline re-engineering.

• Data Strategy & FAIR Principles: design conceptual/logical data models and FAIR-compliant APIs to ensure experimental and formulation data is Findable, Accessible, Interoperable, and Reusable. 

• Ensure Quality: define non-functional requirements and review implementations to identify gaps between design and code. Establish comprehensive observability standards to maintain the health and performance of distributed systems.

• Technology Evangelism: educate teams on architecture best practices, enterprise frameworks, and emerging technologies

• Stakeholder Management: partner with business stakeholders and scientists to gather and document detailed requirements and manage this input in the product backlog.

• Experimentation: Drive the prototyping phase, connecting all stakeholders and key actors to provide a proof of concept.

• Cross-functional: Collaborate with cross-functional teams, including business, product management, and development, to ensure alignment and successful integration

Who you are:

• Bachelor's degree in computer science, systems analysis, or a related study

• 7+ years of relevant experience (software development, cloud, integration, architecture design), or similar experience.

• 5+ years of hands-on experience in the following areas/technologies:

  • AI/ML Workflows & Orchestration: high-throughput pipeline development, specifically utilizing Nextflow orchestration and containerization.

  • Cloud computing (e.g., AWS)

  • High-Throughput Pipelines

  • Observability (e.g. Icinga, Grafana, Prometheus)

  • Event-Driven Architecture and Data Mesh

• 3+ proven experience with Diagnostics solutions or life sciences research environments, or similar background:

  • Digital Pathology architecture, integrations within complex scientific data ecosystems.

  • Applying AI/LLMs to improve Diagnostics workflows and business processes.

• Experience working in agile teams and bridging the "requirements gap" between scientific demand and engineering output.

• Exceptional communication skills with a proven ability to challenge status-quo data silos and influence cross-functional leadership.

• Strong logical, analytical, and problem-resolution skills tailored to highly complex, GxP-compliant research environments.

The expected salary range for this position based on the primary location of Arizona, is $116,900 - $217,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Must be willing to work onsite at our Tucson, location.

Relocation benefits are not available for this job posting.

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