Analytical Quality Co-Op: AI-Driven Lab Standards

Entegris; Round Rock (TX); On-site; USD 25,000 - 41,000; Full time

Benefits offered by this job

Competitive compensation $20-$30/hour

Values‑driven culture

Equal opportunity employer

Impactful work with AI-enabled tools

Job summary

Entegris in Round Rock, TX is seeking an Analytical Quality Engineering Co-Op for the Spring 2027 season. The six‑month assignment supports the Lab Harmonization Initiative by evaluating current quality-system practices and identifying opportunities to improve standardization, cross‑site visibility, and data‑driven reviews.

You will help assess naming conventions, documentation standards, and audit practices across MS sites, with a focus on AI-enabled data review and validation workflows.

Qualifications

• Enrolled student pursuing a bachelor's degree in a technical field with coursework in analytical chemistry, statistics, data analysis, or quality systems.
• Must be available for 40 hours per week, Monday–Friday, January through June.

Responsibilities

• Assist in evaluating quality-system practices across MS analytical laboratories.
• Identify opportunities to standardize documentation, KPI tracking, and audits.
• Develop a proposed documentation standardization framework with examples and naming rules.
• Assist in standardizing internal auditing documentation, tracking, and reporting.
• Explore AI-assisted workflow opportunities for data review and validation.
• Collaborate with analytical quality, laboratory, MQE, and cross-site stakeholders to translate findings into recommendations.

Skills

Analytical thinking

Attention to detail

Communication skills

Education

Bachelor's degree in a technical field

Tools

Power BI

LIMS

Document management systems

Workflow automation

Job description

Entegris in Round Rock, TX is seeking an Analytical Quality Engineering Co-Op for the Spring 2027 season. The six‑month assignment supports the Lab Harmonization Initiative by evaluating current quality-system practices and identifying opportunities to improve standardization, cross‑site visibility, and data‑driven reviews.

You will help assess naming conventions, documentation standards, and audit practices across MS sites, with a focus on AI-enabled data review and validation workflows.