Intern Data Science

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years.

We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.

Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.

With $81.6 billion in 2018 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets.

There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world.

Calling all big thinkers and world-changers who want to drive their careers forward across more than 250 leading businesses in consumer, pharmaceutical and medical technology.

If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.

Position Components

In this role, you will work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly Janssen) 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 artificial intelligence and drug discovery.

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, developing and applying large vision models, as well as predictive and generative artificial intelligence methods, on molecular high-dimensional bioimaging data for advancing drug discovery.

Interns can be located at our US offices in San Diego, San Francisco, Titusville, Raritan, Spring House, and Boston as well as in Zug, Switzerland, or remotely.


* Currently pursuing a Master's, or PhD degree in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, Biomedical Informatics, Statistics, or related quantitative field.


* Strong working knowledge of AI/ML solutions applied for analysis of large-scale bioimaging data


* Strong analytical skills in Computer Vision for bioimage analysis with validated track records (publication in top-tier journals/conferences, public code contributions, etc)


* Proficiency in Python and hands-on experience with Deep Learning frameworks such as PyTorch to address scientific problems.


* Strong technical communication and presentation skills.

Preferred qualifications:

Experience in one or more of the following:


* Strong AI/ML experience in analyzing high-dimensional bioimaging data (e.g.

high-content images, high-dimensional biomedical imagin...