Advanced Clinical Research Co-op

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: Danvers, Massachusetts, United States of America Job Description: Johnson & Johnson is currently seeking a Advanced Clinical Research Co-op to join our Advanced Clinical Research group located in Danvers . 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 https://www.jnj.com/ .

We are seeking a motivated and technically minded co-op student to support the development of innovative methods for extracting clinical data from large collections of source documents. A primary project will focus on transforming PDF-based clinical records into structured databases that can support clinical research, real-world evidence generation, and scientific analyses. This position combines elements of clinical research, data science, artificial intelligence, and software development. The successful candidate will work alongside clinical scientists to develop, test, and validate automated data extraction workflows while gaining exposure to cardiovascular medicine, medical devices, and clinical research. This is an excellent opportunity for students interested in healthcare data science, biomedical informatics, artificial intelligence, software engineering, clinical research, or medical devices.

Develop methods for extracting structured data from large collections of PDF-based clinical source documents. Assist in evaluating and implementing document-processing technologies, including Optical Character Recognition (OCR), Natural Language Processing (NLP), and AI-assisted extraction methods. Design workflows to convert unstructured clinical information into standardized datasets. Develop and maintain databases for storing extracted clinical data. Create and optimize SQL queries to support data quality review and downstream research analyses. Validate extracted data against source documents and reference datasets to assess accuracy and completeness. Perform quality control reviews and document extraction errors, inconsistencies, and improvement opportunities. Harmonize extracted variables according to predefined data dictionaries and research specifications. Support the development of automated pipelines that improve the efficiency and scalability of clinical data collection. Contribute to multiple clinical research initiatives across the Advanced Clinical Research team. Preferred Background Currently enrolled in a Bachelor's or Master's degree program in: Computer Science Data Science Biomedical Informatics Bioinformatics Biomedical Engineering Software Engineering Health Informatics Statistics Applied Mathematics Related