SPS Lab Process Engineer

How Youll Add Value

The SPS (Sample Preparation Services) Lab Process Engineer is responsible for designing optimizing and sustaining efficient high-quality sample preparation processes within the laboratory environment. This role applies Lean principles standard work and continuous improvement methodologies to improve throughput reduce waste ensure compliance and enhance customer satisfaction. The Lab Process Engineer partners closely with lab and biobank operations quality safety and cross-functional teams to deliver reliable scalable and cost-effective lab processes.

What Youll Do

Process Design & Optimization

• Design document and continuously improve SPS lab processes to support sample receipt registration processing QC and handoff while meeting quality safety and turnaround time requirements
• Apply Lean tools to identify inefficiencies and drive sustainable improvements
• Optimize workflows to improve capacity cycle time yield and cost while minimizing variation and rework
• Incorporate client requirements into new project designs for each workflow and into standard work documents
• Maintain equipment according to manufacturer and regulatory standards
• Assist in the development and qualification of new methods
• Lead root cause analysis using structured problem-solving methods

Quality Compliance & Safety

• Ensure all processes align with quality standards regulatory requirements and internal SOPs
• Partner with Quality and EHS teams to maintain compliance with safety protocols and laboratory best practices
• Participate in investigations related to nonconformances deviations or CAPAs and implement corrective actions
• Support audit readiness and documentation accuracy

Cross-Functional Collaboration

• Collaborate with Operations R&D Quality Automation IT and Supply Chain to implement process changes
• Support new method introductions technology transfers and scale-up activities
• Provide process engineering expertise for equipment selection validation and layout planning

Documentation & Standard Work

• Develop and maintain SOPs work instructions process maps and training materials
• Ensure changes are effectively communicated and embedded through standard work and training
• Support change management to ensure adoption and sustainability of improvements

What You Will Bring

Required Qualifications

• Bachelors degree in Engineering (Chemical Mechanical Biomedical Industrial or related field) or equivalent experience
• 4 years of experience in a laboratory manufacturing or process engineering environment
• Demonstrated experience applying Lean Six Sigma or continuous improvement methodologies
• Strong analytical problem-solving and data analysis skills
• Experience with process documentation SOP development and standard work
• Effective communication skills and ability to influence across functions

Preferred Qualifications

• Experience in sample preparation analytical laboratories or regulated environments (e.g. GMP GLP ISO)
• Experience with laboratory automation equipment validation or process scaling
• Working knowledge of statistical tools and data visualization
• Project management experience

Physical Requirements

• Reaching lifting bending
• Ability to lift 50 lbs.
• Extended periods of standing or sitting
• Right- and left-hand finger dexterity
• Ability to discern colors or use of color correction glasses
• Ability to work with refrigerants (e.g. dry ice and LNs) using proper PPE

Your Working Conditions:

• Employee will be working in an area with potentially infectious materials.
• Employee will be responsible for maintaining a clean work environment for enforcing and following Universal Precautions for bloodborne pathogens when working in an area considered to be potentially contaminated.

Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race color age religion gender sexual orientation gender identity national origin disability or veteran status.

The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience education (including licensure and certifications) qualifications performance and geographic location among other relevant business or organizational needs.