Lead Systems Integration Specialist - Diagnostics Lab

Abbott Laboratories; Northern (KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Abbott is seeking a Staff Systems Integration Specialist for our Diagnostics/Core Lab. The role is based on-site at Abbott Park, IL, focusing on integrating subsystems and ensuring system performance across hardware, software, assays, and labeling.

You will lead risk assessments, develop test methods, mentor engineers, and drive data-driven improvements aligned with quality and regulatory requirements.

Qualifications

• Bachelor’s degree in Life or Physical Science, Bioengineering, Biomedical Engineering, or closely related discipline.
• Minimum 7 years recognized experience leading complex system and risk analysis.
• Demonstrated ability to lead and influence stakeholders using data to make decisions.

Responsibilities

• Ensure and verify the design of subsystems to function as a system.
• Define and document system requirements across hardware, software, assays, reagents, and labeling.
• Develop and execute integration, verification, and validation testing.
• Analyze data, interpret results, and recommend improvements to product performance.
• Lead risk management activities including FMEA and hazard assessments.
• Mentor team members and collaborate across engineering, quality, and operations.
• Drive data-based decision-making using statistics and DOE.

Skills

Lead complex system analysis

Risk analysis

Data-driven decisions

Systems thinking

Regulatory/compliance awareness

Mentor and collaboration

Education

Bachelor’s degree in Life or Physical Science, Bioengineering or Biomedical Engineering

Tools

DOORS

APLM

SBM

Job description

Abbott is seeking a Staff Systems Integration Specialist for our Diagnostics/Core Lab. The role is based on-site at Abbott Park, IL, focusing on integrating subsystems and ensuring system performance across hardware, software, assays, and labeling.

You will lead risk assessments, develop test methods, mentor engineers, and drive data-driven improvements aligned with quality and regulatory requirements.