QC Logistics Technician II – Data-Driven Lab Analyst

Roquette Laisa España SA; Midland (TX); On-site; USD 18,000 - 30,000; Full time

Job summary

Roquette is seeking a Logistics Technician 2 (LT2) to support our QC Laboratory, delivering high-quality analytical data for product release. The LT2 collaborates with the union and operates in Midland, MI within a cross-functional team.

The role requires an analytical laboratory background, proficiency with Excel/SharePoint and SampleManager, and the ability to follow GMP and ISO requirements.Laboratory duties include data analysis, documentation, and collaboration across shifts.

Qualifications

• Previous analytical laboratory experience
• Proficiency with Microsoft Excel and Word, SampleManager, and SharePoint
• Proficiency with math and computer skills required to perform logistics role in cGMP lab

Responsibilities

• Analyze samples according to the sample plan and prioritize special request samples
• Evaluate data validity, apply basic statistics, compare to specs, take action
• Document, communicate, and archive results following cGMP rules
• Communicate role information between shifts, staff, and partners
• Follow EH&S and Quality System procedures and practices
• Assist with facility management including materials, housekeeping, and waste handling per RCRA guidelines
• Provide professional communication to clients, co-workers, and leadership

Skills

Analytical thinking

Math skills

Computer skills

Education

High School diploma/GED

College Chemistry coursework

Tools

SampleManager

SharePoint

Microsoft Excel

Microsoft Word

Job description

Roquette is seeking a Logistics Technician 2 (LT2) to support our QC Laboratory, delivering high-quality analytical data for product release. The LT2 collaborates with the union and operates in Midland, MI within a cross-functional team.

The role requires an analytical laboratory background, proficiency with Excel/SharePoint and SampleManager, and the ability to follow GMP and ISO requirements.Laboratory duties include data analysis, documentation, and collaboration across shifts.