Laboratory Automation Intern

At Johnson & Johnson, health is the starting point. Our work in Innovative Medicine and MedTech aims to prevent, treat, and cure complex diseases, with smarter, less invasive treatments and personal solutions. Learn more at jnj.com.

Guided by Our Credo, Johnson & Johnson takes responsibility for the employees who work with us around the world. We create an inclusive workplace where each person is seen as an individual and where diversity and dignity are respected.

Job Function and Category

This is a Career Programs role in the Non-LDP Intern/Co-Op sub-function, based at the Spring House campus.

About Innovative Medicine

Our expertise in Innovative Medicine is shaped by patients, whose insights drive our science-based work. Interns work on teams that develop the medicines of tomorrow and champion patients at every step.

The internship runs from May to August 2027 and is a full-time commitment of 40 hours per week. It lasts 10 to 12 weeks.

Purpose

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

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

Responsibilities

• Conduct supervised lab walkthroughs to build and maintain an accurate inventory of automation systems, components, software, locations, owners, operational status, and scientific use cases.
• Reconcile field observations with existing records and work with system owners to resolve missing, duplicate, or inconsistent information.
• Learn automation platform purpose, operating sequences, interfaces, dependencies, and supporting workflows through supervised shadowing.
• Collect, review, and organize technical documentation such as equipment manuals, configuration records, setup instructions, deck layouts, integration notes, and service documents.
• Apply consistent naming conventions and metadata to improve organization and searchability of automation information.
• Identify and define potential LLM use cases for record classification, metadata extraction, setup summarization, missing-data detection, and other knowledge-management needs.
• Document AI use-case objectives, intended users, data inputs, expected outputs, assumptions, risks, success criteria, and human-review requirements.
• Evaluate the feasibility of proposed LLM use cases using approved tools and verified information.
• Support system assessments, demonstrations, data cleanup, reporting, issue tracking, project coordination, and knowledge transfer.
• Develop standardized automation system profiles and help build an organized, searchable repository of equipment and technical information.
• Prepare project documentation and a final stakeholder presentation covering completed work, findings, gaps, and recommendations.
• Follow laboratory safety, EH&S, cybersecurity, data-handling, responsible AI, access-control, and equipment-specific requirements.

Preferred Qualifications

Laboratory Automation and Digital Systems

• Interest or experience with laboratory automation systems, robotics, automation software, or scientific instrumentation.
• Familiarity with automation components, equipment interfaces, laboratory workflows, or scientific technology.
• Exposure to asset-management systems, service platforms, or technical equipment databases.
• Experience organizing or documenting technical systems, equipment, or workflows.

Data and Knowledge Management

• Experience using Excel, SharePoint, and Microsoft Teams to organize, review, or maintain technical information.
• Familiarity with data cleanup, validation, reconciliation, metadata, record classification, or structured information management.
• Experience with equipment documentation, manuals, configuration records, or setup instructions.
• Interest or experience in knowledge management and improving the accessibility and consistency of technical information.

AI and Emerging Technologies

• Interest or experience with Large Language Models (LLMs), Generative AI, prompt design, or responsible AI.
• Familiarity with approved AI tools for classification, metadata extraction, summarization, or missing-data identification.
• Understanding of data quality, information security, human review, and responsible use of AI-generated outputs.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other protected characteristics. Accommodations for the interview process are available on request.