Job description

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, 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, development of applied natural language processing (NLP) tools, leveraging Large Language Models (LLMs) for clinical information extraction and clinical code mapping from unstructured documents. Time-series predictive modeling for enrollment forecasting using advanced machine learning techniques. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote.

Currently pursuing master’s or PhD degree in Computer Science, Electrical, Computer, or Biomedical Engineering, or related quantitative discipline.
Strong working knowledge of conventional machine learning techniques, advanced NLP tools including Large Language Models (LMM).
Experiment conducting systematic experimentation and comparative analysis in machine learning including ablation experiments.
Strong coding abilities with proficiency in Python, SQL
Strong technical communication and presentation skills.
Must be permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship

Preferred Qualifications

Experience in applied machine learning in healthcare
Prior work conducting systematic experimentation and comparative analysis between machine learning modeling approach including ablation experiments.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Primary Location

NA-US-Massachusetts-Cambridge

Organization

Janssen Research & Development, LLC (6084)

Job Function

Non-LDP Intern/Co-Op

Job Qualifications

Minimum qualifications:

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