Process Engineer - Onsite

Piper Companies is seeking a Process Engineer to support the development and optimization of manufacturing processes within a biology and life sciences environment. The Process Engineer role is ideal for a detail-oriented professional with experience in bioprocessing, continuous improvement, and compliance with industry standards. The Process Engineer role requires you to work onsite in Greenville, NC and is a long term contract opportunity.

Responsibilities of the Process Engineer:

• Design, implement, and optimize bioprocessing workflows for production and scale-up.
• Collaborate with R&D, quality assurance, and manufacturing teams to ensure process efficiency and reliability.
• Develop and maintain process documentation, including SOPs and validation protocols.
• Monitor and analyze process performance data to identify areas for improvement.
• Ensure compliance with regulatory requirements (GMP, GLP) and company quality standards.
• Support technology transfer from development to manufacturing.

Requirements of the Process Engineer:

• Bachelor’s degree in Chemical Engineering, Bioprocess Engineering, or related field; advanced degree preferred.
• 3+ years of experience in process engineering within biology, biotechnology, or life sciences industries.
• Strong understanding of bioprocessing techniques, fermentation, and downstream processing.
• Familiarity with regulatory guidelines and quality systems (GMP, ISO).
• Excellent problem-solving skills and ability to work in cross-functional teams.
• Proficiency in process modeling and data analysis tools.

Compensation for the Process Engineer includes:

• $80,000 - $120,000 depending on experience
• Full Comprehensive Benefits: Health, Vision, Dental, PTO, Paid Holiday and Sick Leave if Required by Law

Keywords:

Process Engineer, bioprocessing, biotechnology, life sciences, GMP compliance, fermentation, downstream processing, process optimization, technology transfer, SOP development, continuous improvement, regulatory compliance, data analysis

This job opens for applications on 01/15/2026. Applications for this job will be accepted for at least 30 days from the posting date.

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