Clinical Data Science Electrophysiology - Machine Learning 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 Med Tech, 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.

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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: Irvine, California, United States of America

Job Description:

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 Science Electrophysiology - Machine Learning Intern to be in Irvine, CA.

• The Intern term is from May/June to August/September, 2026.

• Full time requirement (40 hours per week).

At Johnson & Johnson, we are revolutionizing healthcare by leveraging technology, data, and the power of teamwork to overcome the world’s most significant healthcare challenges. We are looking for passionate and driven Clinical Data Science (CDS) interns to join our J&J Med Tech - Electrophysiology (EP) team for a paid summer internship program in Irvine, California.

As a J&J Med Tech EP CDS intern, you will have the opportunity to work with statisticians and data engineers to learn about statistical and data science applications specific to clinical or nonclinical settings in medical devices. You will support projects in areas that range from clinical studies, post marketing studies, Real World Evidence registry studies, and concurrently, participate in working groups such as the Statistical Methodology/Consulting Working Group, Machine Learning Working Group, RWE/Publication Support Team, and R, Python, SAS User Groups.

CDS interns will be involved in various activities, including data preparation, graphical exploration of data, statistical model building and analysis, report writing, and writing of computer programs or software applications associated with the participated projects. Other activities may include designing experiments, conducting simulations to evaluate optimal designs, and participation in methodological development.

• Completion of Undergraduate Freshman year at an accredited University is required.

• Currently pursuing a PhD degree in Biostatistics or Statistics, Mathematics, Computer Science, Data Science, Machine Learning, or a related discipline.

• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.

• Candidates must be detail-oriented, highly organized, and able to manage multiple tasks.

• Candidates must be a self-motivated and have the ability to work independently as well as collaboratively with a team.

• Ability to demonstrate strong analytical, quantitative, and programming skills is required.

• Proficiency in at least one of the following languages R, SAS, or Python is preferred.

• Excellent communication, presentation, and leadership skills are preferred.

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 $26.50 per hour and…