Clinical Data Analytics & AI Intern

About Johnson & Johnson

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.

About MedTech

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech.

We are searching for the best talent for Clinical Data Analytics & AI Intern to be in Cincinnati, Ohio, US/ remote.

The Intern term is from June to August, 2026. This is a full-time requirement (40 hours per week).

Purpose

We are seeking a curious, technically skilled, and analytically minded intern to help advance our next generation of clinical data review tools. This remote internship position blends programming, clinical data analytics, and AI-powered workflow innovation to enhance data quality, standardization, and efficiency across JNJ MedTech Surgery clinical trials. Your work will help ensure higher data integrity in clinical trials, ultimately supporting better patient outcomes and advancing surgical innovation at JNJ MedTech Surgery.

You will contribute directly to the evolution of the EDISONS Data Review Dashboard - our cloud-based platform supporting streamlined clinical data review. This role offers hands-on exposure to real clinical trial data, data validation methodologies, and emerging generative AI applications within data management.

This is an ideal opportunity for students interested in biomedical data, analytics, AI, and R-based product development.

Responsibilities

As a Clinical Data Analytics & AI Intern with the JNJ MedTech Surgery Data Management team, you will play an integral role in advancing our clinical data review tools by supporting several innovative initiatives. Your responsibilities will include:

• Developing new features within our RShiny-based EDISONS Data Review Dashboard.
• Implementing standardized functions and reusable components, while also contributing to documentation efforts.
• Working on automated data review processes, such as implementing algorithms for detecting outliers, missing data checks, flagging data issues, and building automated checks to compare datasets.
• Helping enhance the dashboard with AI-powered data review tools like the Query Refiner for improved data queries, Protocol Deviation Classifier for automated review, Data Radar tools for comprehensive issue scanning, and Data Chat for interactive data exploration.
• Drafting and executing test scripts, preparing guides and requirement documents.
• Working closely with data managers, clinical partners, and developers to ensure features are practical and effective.

Throughout this internship, you’ll gain valuable exposure to clinical data flows, MedTech trial processes, and Electronic Data Capture systems such as RAVE. You’ll develop hands-on experience applying AI and data analytics concepts to real-world data review challenges and participate in designing scalable analytics tools utilized by clinical data managers around the globe. This role will empower you to contribute to meaningful improvements that directly enhance data quality and operational efficiency, while providing opportunities to collaborate with professionals across various disciplines and build expertise in biomedical data, analytics, and R-based product development. You’ll have opportunities to learn from experienced data managers and engineers, gaining mentorship and insights that will accelerate your professional development.

Qualifications / Requirements

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Data Analytics, Computer Science, Engineering, or a related field.
• Have a cumulative GPA of 3.5 or higher, which is reflective of all college coursework.
• Strong analytical and problem-solving skills, with an aptitude for quickly understanding new concepts and technologies.
• Experience or coursework in programming (preferably R, Python, or similar languages) and familiarity with data visualization tools or dashboard development.
• Solid understanding of data structures, algorithms, and principles of data quality management.
• Excellent written and verbal communication skills, with the ability to clearly explain technical ideas to both technical and non-technical audiences.
• Demonstrated ability to work collaboratively in cross-functional teams, including data managers, engineers, and clinical partners.
• Detail-oriented with a focus on producing accurate documentation and thorough testing.
• Self-motivated, proactive, and eager to contribute to innovative data analytics solutions.
• Experience in healthcare, clinical research, or MedTech is a plus.
• Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.

Key skills/competency

• Clinical Data Analytics
• Artificial Intelligence (AI)
• RShiny Development
• Data Quality Management
• Algorithm Implementation
• Data Visualization
• Cross-functional Collaboration
• Clinical Trials
• Electronic Data Capture (EDC)
• Problem Solving