Lab Automation & AI Engineering Co-Op

Entegris•Billerica, MA

1d•$20 - $30•Onsite

About The Position

Our site in Billerica, MA is seeking a Lab Automation & AI Engineering Co-Op to join our team for the Spring 2027 season. This assignment is intended to be 6 months in duration. This is a hands-on opportunity to apply coding and AI skills to real laboratory challenges — helping automate manual workflows, streamline data handling, and prototype AI-assisted tools that improve lab efficiency and data quality. You will work alongside lab managers, scientists, and analysts to understand real lab processes and build practical, reliable tools that make everyday lab work faster and more consistent. This is a great fit for a student who enjoys working at the intersection of science, data, and automation.

Requirements

Currently pursuing a Bachelor's or Master's in Chemical Engineering, Chemistry, or a related field.
Coding ability in Python (or similar) for data analysis or automation.
Familiarity with structured data (Excel, CSV, databases).
Strong problem-solving skills, attention to detail, and eagerness to learn lab workflows.
Ability to work onsite in Billerica, MA for the full Spring term.
Exposure to AI tools, large language models, or AI agent frameworks.
Interest in or coursework related to laboratory operations, analytical chemistry, or QA.
Experience with APIs, data pipelines, or workflow automation.
Strong communication skills and ability to work with non-technical users.
Must be a currently enrolled student
Available to work 40 hours a week, M-F (8a-5p) beginning in January through June
Must be familiar with the university’s requirements to participate in a co-op program
Entegris is not currently hiring candidates for co-ops/internships who will need, now or at any time in the future, Entegris sponsorship through the H1-B lottery.

Nice To Haves

Graduate in Spring 2027 or Spring 2028

Responsibilities

Support automation of manual lab workflows such as data processing, QC review, and report generation.
Develop and test Python scripts or tools for data analysis, cleanup, and automation.
Help prototype and evaluate AI-assisted tools (e.g., large language models, AI agents) for practical lab applications.
Assist with connecting instrument data to lab systems (e.g., LIMS) and reducing manual Excel/CSV handling.
Document workflows, assumptions, and usage instructions for tools you help build.
Collaborate with lab staff to gather requirements and improve tools based on feedback.