Laboratory Automation Systems Intern

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for Laboratory Automation Systems Intern to be in Spring House, PA.

• The Internterm is from May to August, 2027.
• Full time requirement (40 hours per week).

Purpose:

The Laboratory Automation Systems Intern will support a campus-wide initiative at the Spring House Campus focused on improving the visibility, documentation, and knowledge management of laboratory automation platforms.

Working alongside Laboratory Operations, automation specialists, scientists, engineers, and IT/Digital partners, the intern will help inventory and characterize laboratory automation systems, organize and reconcile technical information, and identify practical Large Language Model (LLM) use cases that improve access to automation-related knowledge.

This 10–12 week internship provides hands-on exposure to laboratory automation, digital systems, technical data management, responsible AI, and cross-functional collaboration within a scientific laboratory environment.

You will be responsible:

• Conducting supervised laboratory walkthroughs to develop and maintain an accurate inventory of automation systems, components, software, locations, system owners, operational status, and scientific use cases.
• Reconciling field observations with existing records and working with system owners to identify and resolve missing, duplicate, or inconsistent information.
• Learning automation platform purpose, operating sequences, inputs, outputs, interfaces, dependencies, and supporting scientific workflows through supervised shadowing.
• Collecting, reviewing, and organizing technical documentation, including equipment manuals, configuration records, setup instructions, deck layouts, integration notes, and service documentation.
• Applying consistent naming conventions and metadata to improve the organization, standardization, and searchability of automation-related information.
• Identifying and defining potential LLM use cases for record classification, metadata extraction, setup summarization, missing-data detection, and other knowledge-management needs.
• Documenting AI use-case objectives, intended users, data inputs, expected outputs, assumptions, risks, success criteria, and human-review requirements.
• Evaluating the feasibility of proposed LLM use cases using approved tools and verified information.
• Supporting automation system assessments, demonstrations, data cleanup, reporting, issue tracking, project coordination, and knowledge-transfer activities.
• Developing standardized automation system profiles and supporting the creation of an organized, searchable repository of equipment and technical information.
• Preparing project documentation and a final stakeholder presentation summarizing completed work, findings, identified gaps, and recommendations.
• Following applicable laboratory safety, EH&S, cybersecurity, data-handling, responsible AI, access-control, and equipment-specific requirements.

Qualifications / Requirements:

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a Bachelor’s or Master's degree in Laboratory Automation, Engineering, Computer Science, Data Science, Information Systems, Life Sciences, Pharmaceutical Sciences, Digital Systems, or related fields.
• Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework.
• Strong attention to detail and ability to organize, validate, reconcile, and document technical information accurately.

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