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Data Science Intern, Neuroimaging Analysis

Johnson and Johnson

R&D Data Science & Digital Health DSAI Intern Summer 2024

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 $85.2 billion in 2023 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of healthcare products, as well as a provider of related services, for the pharmaceutical, and medical technologies 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 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 machine learning 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, use of real-world data for modeling and prediction of disease severity and progression, discovery of disease subtypes, risk stratification, and precision medicine using traditional biostatistical methodologies and advanced methodologies from machine learning and/or deep learning. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote.

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Confirmed 21 hours ago. Posted 30+ days ago.

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