IVD Systems Engineer — R&D & Validation

Roche

Tucson (AZ)

On-site

USD 60,000 - 112,000

Full time

3 days ago
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Job summary

Roche seeks an Associate Systems Engineer to join the R&D team in Arizona. You will drive requirements definition, risk management, and verification & validation activities for IVD systems, ensuring traceability and regulatory compliance.

You will own project deliverables and collaborate with multiple functions to deliver robust solutions. The role emphasizes cross-functional collaboration, lifecycle management, and risk-driven decision making, with an eye toward patient-centered diagnostic

Qualifications

  • Bachelor's degree in Engineering, Biomedical Sciences, or related technical field with 2 years of experience preferred.
  • Experience in assay development at a medical device company.
  • Familiarity with FDA, ISO and regulatory standards for diagnostics products.
  • Experience with risk analysis and validation in IVD context.

Responsibilities

  • Define requirements engineering, risk analysis, and verification & validation.
  • Perform system lifecycle management and risk mitigation.
  • Collaborate with R&D, Marketing, Operations, Quality, and Regulatory teams.
  • Engage with VoC representatives to align technical solutions with customer needs.
  • Provide multiple solution paths and decision support for validation criteria.

Skills

Requirements engineering
Risk analysis
Traceability
Verification & validation
Regulatory familiarity
Cross-functional collaboration

Education

Bachelor's degree in Engineering or Biomedical Sciences

Tools

RETINA tool

Job description

Roche seeks an Associate Systems Engineer to join the R&D team in Arizona. You will drive requirements definition, risk management, and verification & validation activities for IVD systems, ensuring traceability and regulatory compliance.

You will own project deliverables and collaborate with multiple functions to deliver robust solutions. The role emphasizes cross-functional collaboration, lifecycle management, and risk-driven decision making, with an eye toward patient-centered diagnostic

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