Johnson & Johnson
Irvine, California, United States of America

Clinical Data Science Electrophysiology - Biostatistics Intern

Hybrid$27 – $59/hrPosted 1 week agoWebsiteLinkedIn

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About this role

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 Science Electrophysiology - Biostatistics Intern to be in Irvine, CA.

  • The Intern term is from May/June to August/September, 2026.
  • Full time requirement (40 hours per week).

Purpose:

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 MedTech - Electrophysiology (EP) team for a paid summer internship program in Irvine, California.

You will be responsible:

As a J&J MedTech 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.