Mechanical Properties Technician: DMA & Python Analytics

Pace® Analytical Services; Maplewood (MN); On-site; USD 29,000 - 33,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K Retirement plan

Life insurance

Disability coverage

Paid time off

HSA

Wellness program

Tuition reimbursement

Employee Assistance program

Parental leave

ID theft protection

Job summary

Pace® Analytical Services is seeking a Mechanical Properties Coding and Modeling technician in Minnesota to support DMA, tensile and other mechanical tests. You will develop and use Python and cloud-based tools to process data, and you will analyze data sets generated on-site.

The role emphasizes hands-on lab work, data processing, and tool development with a focus on safety and data quality. Experience with Python and basic lab techniques is essential.

Qualifications

• BS in Chemistry, Physics, Materials Science & Engineering or related field.
• Familiarity with Python in a scientific environment.
• Good mechanical aptitude and sample manipulation skills.
• Experience with finite element analysis (FEA) would be preferred.
• Familiarity with Microsoft Word and Excel.

Responsibilities

• Prepare samples for mechanical analysis by DMA, load frame, peel tester.
• Analyze samples by DMA, load frame and peel tester; analyze data sets using Python and cloud based tools developed on site.
• Develop and modify Python and cloud based data analysis tools.
• Follow standard formats procedures for analyzing samples and reporting data.
• General lab maintenance duties.

Skills

Python

DMA

Education

BS in Chemistry, Physics, Materials Science & Engineering

Tools

Excel

Word

FEA

Job description

Pace® Analytical Services is seeking a Mechanical Properties Coding and Modeling technician in Minnesota to support DMA, tensile and other mechanical tests. You will develop and use Python and cloud-based tools to process data, and you will analyze data sets generated on-site.

The role emphasizes hands-on lab work, data processing, and tool development with a focus on safety and data quality. Experience with Python and basic lab techniques is essential.