R&D Data Sciences Intern Summer

Key Skills

Python Programming, Machine learning techniques, Data Mining, MATLAB Programming, R Programming

Job Description

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, pharmaceuticals 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 R&D Data Sciences organization and partner with key businesses across 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 methodologies from machine learning, deep learning and/or signal processing. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote.

Qualifications

• Currently pursuing bachelor’s, master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
• Strong working knowledge of data mining and machine learning.
• Proficiency in one or more of the following programming languages: Python, R, MATLAB.
• Familiarity with predictive modeling and analysis of large datasets.
• Strong technical communication and presentation skills.

Experience in one or more of the following -

• Experience in deep learning and computer vision.
• Experience in time series analysis and signal processing.
• Knowledge of epidemiology and experience in analysis of healthcare datasets: claims, EMR/EHR, survey, observation studies.
• Experience in analysis of fMRI and EEG data.