Advanced Clinical Research Co-op (AI)

Location: Danvers, Massachusetts, United States of America; onsite

Salary: $23.50–$52.50 per hour

Company

Johnson & Johnson MedTech develops healthcare and medical device solutions, including technologies for clinical research and cardiovascular medicine.

What you will do

• Develop methods for extracting structured data from large collections of PDF-based clinical documents.
• Evaluate and implement OCR, NLP, and AI-assisted document-processing technologies.
• Design workflows that convert unstructured clinical information into standardized datasets.
• Develop databases and SQL queries for data storage, quality review, and research analysis.
• Validate extracted data, perform quality control, and document errors and improvement opportunities.
• Support automated pipelines and multiple clinical research initiatives across the Advanced Clinical Research team.

Requirements

• 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, or a related quantitative discipline.
• Programming experience in Python and working knowledge of SQL and relational databases.
• Experience with large datasets, data cleaning, and data transformation.
• Strong analytical, problem-solving, communication, documentation, and data-quality skills.
• Ability to work independently and collaborate with a multidisciplinary research team.
• Must be permanently authorized to work in the United States and must not require employment visa sponsorship now or in the future.

Nice to have

• Experience processing PDFs, text files, or other unstructured data.
• Familiarity with OCR, document-processing tools, PostgreSQL, SQL Server, MySQL, or similar platforms.
• Exposure to machine learning, NLP, large language models, AI, data pipelines, Git, healthcare datasets, or data engineering.

Culture & Benefits

• Hands-on experience with AI-assisted clinical data extraction and large-scale clinical datasets.
• Mentorship from clinical scientists, researchers, and data professionals.
• Cross-functional collaboration with scientists, clinicians, and technical teams.
• Employee medical benefits, up to 40 hours of sick time per calendar year, and participation in the consolidated retirement plan.