Process Engineer - Lab Chemistry & Data Analytics

Griffin Global Systems, Inc.

Butte (MT)

On-site

USD 65,000 - 85,000

Full time

14 days+

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Job summary

Griffin Global Systems, Inc. seeks a qualified candidate in Butte, Montana, with a Bachelor’s degree in Chemical Engineering or related fields. The position needs 3–7 years of relevant industry experience and emphasizes hands-on laboratory work focused on safety and efficiency.

The ideal applicant should have a solid understanding of analytical techniques like HPLC and experience with data analysis tools such as Excel and Python. This role offers a chance to apply scientific knowledge in a practical environment, advancing the company's innovative projects.

Qualifications

  • Bachelor’s degree in Chemical Engineering, Chemistry, Materials Science, or a closely related discipline.
  • 3–7 years of relevant industry experience.
  • Hands-on laboratory experience with a strong emphasis on safety and experimental execution.
  • Demonstrated ability to plan and conduct experiments safely.
  • Familiarity with standard analytical techniques including HPLC, GC, Spectroscopy, and imaging.
  • Strong practical troubleshooting skills in laboratory settings.
  • Advanced proficiency in data analysis tools such as Excel, MATLAB, or Python.
  • Solid, in-depth Chemistry background with practical application experience.

Skills

Hands-on laboratory experience
Troubleshooting skills
Data analysis
Familiarity with HPLC
Familiarity with GC
Familiarity with Spectroscopy
Proficiency in Excel
Proficiency in MATLAB
Proficiency in Python

Education

Bachelor’s degree in Chemical Engineering, Chemistry, Materials Science

Job description

Griffin Global Systems, Inc. seeks a qualified candidate in Butte, Montana, with a Bachelor’s degree in Chemical Engineering or related fields. The position needs 3–7 years of relevant industry experience and emphasizes hands-on laboratory work focused on safety and efficiency.

The ideal applicant should have a solid understanding of analytical techniques like HPLC and experience with data analysis tools such as Excel and Python. This role offers a chance to apply scientific knowledge in a practical environment, advancing the company's innovative projects.

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