Summer intern, Digital Signal/ Imaging AI

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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:
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Leiden, Netherlands, Titusville, New Jersey, United States of America, Zug, Switzerland

Job Description:

Summer intern, Digital Signal/ Imaging AI

Position Components

In this role, you will work with colleagues in the J&J Innovative Medicine R&D Data, Data Science, and AI (DDSAI) organization and partner with key businesses across J&J Innovative Medicine to apply advanced data science and analytics to answer key research questions.

As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of AI and healthcare.

You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions.

Projects include, but are not limited to, processing and analysis of wearable sensor and neuroimaging data, development of machine learning models for digital biomarker discovery, validation of digital health endpoints, generation of insights from real-world physiological and behavioral data, modeling and prediction of disease severity and progression, and discovering of disease subtypes.

Interns could be located out of our US locations in San Diego CA, San Francisco CA, Titusville NJ, Raritan NJ, Spring House PA, Cambridge MA, or out of Europe locations in Beerse (Belgium), Leiden (The Netherlands), Zug (Switzerland) as well as remote.

Minimum qualifications:


* Currently pursuing a PhD degree in Biomedical Engineering, Electrical Engineering, Neuroscience, Applied Mathematics, Statistics, Data Science, or a related quantitative discipline.


* Strong working knowledge of AI and machine learning.


* Advanced in Python or R


* Strong skills in predictive modeling, statistics, and analysis of large datasets.


* Strong technical communication and presentation skills.


* Basic knowledge of data cleaning and data quality

Preferred qualifications:

Experience in one or more of the following:


* Experience ...