Clinical Data Analytics & AI Intern

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:

Cincinnati, Ohio, United States of America

Job Description

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

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.
• 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.

You will be responsible

As an 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. You'll implement standardized functions and reusable components, while also contributing to documentation efforts. Additionally, you'll work 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. You'll help 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. Communication is key - you'll draft and execute test scripts, prepare guides and requirement documents, and work closely with data managers, clinical partners, and developers to ensure that the 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. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).

For additional general information on Company benefits, please go to: This job posting is anticipated to close on [MM/DD/2026]. The Company may however extend this time-period, in which case the posting will remain available on to accept additional applications.

Ineligibility for severance.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via or contact AskGS to be directed to your accommodation resource.

Remote

Required Skills

Preferred Skills: