Advanced Clinical Research Co-op

Location: Danvers, Massachusetts, United States of America

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/.

About the Role

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.

Key Responsibilities

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 quantitative discipline

Candidates from health sciences backgrounds with strong programming experience are also encouraged to apply.

Required Skills

Experience programming in Python.

Working knowledge of SQL and relational databases.

Strong analytical and problem-solving skills.

Ability to work with large datasets and perform data cleaning and transformation tasks.

Strong attention to detail and commitment to data quality.

Ability to follow structured validation and documentation procedures.

Excellent written and verbal communication skills.

Ability to work independently while collaborating within a multidisciplinary research team.

Preferred Skills

Experience processing PDFs, text files, or other unstructured data sources.

Familiarity with OCR technologies and document-processing tools.

Exposure to machine learning, NLP, or Large Language Models (LLMs).

Experience building data pipelines or automated workflows.

Familiarity with PostgreSQL, SQL Server, MySQL, or similar database platforms.

Experience with Git or version control systems.

Exposure to healthcare, clinical, or biomedical datasets.

Coursework or project experience involving artificial intelligence or data engineering.

What You Will Gain

Hands-on experience developing AI-assisted clinical data extraction workflows.

Experience working with large-scale clinical datasets and real-world source documents.

Practical experience designing and building SQL-queryable research databases.

Exposure to modern data science, machine learning, and document-intelligence technologies.

Training in validation methodologies, quality control, and research data standards.

Mentorship from clinical scientists, researchers, and data professionals working in the medical device and cardiovascular research space.

Experience working cross-functionally with scientists, clinicians, and technical teams.

Preparation for future careers i