Laboratory Automation Systems Intern

Johnson & Johnson Innovative Medicine•Spring House, PA

4d•Onsite

About The Position

The Laboratory Automation Systems Intern will support a campus-wide initiative at Johnson & Johnson’s Spring House Campus to improve the visibility, documentation, and knowledge management of laboratory automation platforms. Working with Laboratory Operations, automation specialists, scientists, engineers, and IT/Digital partners, the intern will inventory and characterize 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 runs from May to August 2027 and requires 40 hours per week. It provides hands-on exposure to laboratory automation, digital systems, technical data management, responsible AI, and cross-functional collaboration in a scientific laboratory environment. The intern will work under supervision and follow applicable laboratory safety, EH&S, cybersecurity, data-handling, responsible AI, access-control, and equipment-specific requirements.

Requirements

Completion of undergraduate freshman year at an accredited university.
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 a related field.
Cumulative GPA of 3.0 or higher across all college coursework.
Strong attention to detail and ability to organize, validate, reconcile, and accurately document technical information.
Working knowledge of Microsoft productivity and collaboration tools, including Excel, PowerPoint, SharePoint, and/or Microsoft Teams.
Strong analytical, organizational, and problem-solving skills.
Effective written and verbal communication skills.
Ability to collaborate with scientific, engineering, automation, operations, and IT/Digital stakeholders.
Ability and willingness to learn unfamiliar laboratory equipment, software, terminology, and scientific workflows.
Ability to manage priorities, track issues, and complete assigned activities within established timelines.
Ability to work independently on assigned responsibilities while contributing effectively within a cross-functional team.
Comfort working under supervision in laboratory environments.
Willingness and ability to complete required laboratory safety, EH&S, cybersecurity, data-handling, responsible AI, and site-access training.
Ability to follow established access controls, equipment-specific requirements, and applicable information-security and data-governance practices.
Permanent authorization to work in the United States without requiring employment visa sponsorship at application or in the future.

Nice To Haves

Interest or experience with laboratory automation systems, robotics, automation software, or scientific instrumentation.
Familiarity with automation system 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.
Experience using Excel, SharePoint, and Microsoft Teams to organize, review, or maintain technical information.
Familiarity with data cleanup, data validation, reconciliation, metadata, record classification, or structured information management.
Experience working with equipment documentation, manuals, configuration records, setup instructions, or other technical information.
Interest or experience in knowledge management and improving the accessibility, consistency, and usability of technical information.
Interest or experience with Large Language Models (LLMs), Generative AI, prompt design, or responsible AI.
Familiarity with using approved AI tools for information classification, metadata extraction, summarization, or missing-data identification.
Understanding of data quality, information security, human review, and responsible use of AI-generated outputs.

Responsibilities

Conduct supervised laboratory walkthroughs and maintain an accurate inventory of automation systems, components, software, locations, system owners, operational status, and scientific use cases.
Reconcile field observations with existing records and work with system owners to identify and resolve missing, duplicate, or inconsistent information.
Learn automation platform purposes, operating sequences, inputs, outputs, interfaces, dependencies, and supporting scientific workflows through supervised shadowing.
Collect, review, and organize technical documentation, including equipment manuals, configuration records, setup instructions, deck layouts, integration notes, and service documentation.
Apply consistent naming conventions and metadata to improve the organization, standardization, and searchability of automation-related 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 automation system assessments, demonstrations, data cleanup, reporting, issue tracking, project coordination, and knowledge-transfer activities.
Develop standardized automation system profiles and support creation of an organized, searchable repository of equipment and technical information.
Prepare project documentation and a final stakeholder presentation summarizing completed work, findings, identified gaps, and recommendations.
Follow applicable laboratory safety, EH&S, cybersecurity, data-handling, responsible AI, access-control, and equipment-specific requirements.