Massachusetts Veterans Jobs

R&D Data Science & Digital Health DSAI Intern Summer 2025

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.

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 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 predictive and generative machine learning methods for molecular property prediction with the ultimate goal of drug discovery. Interns could be located out of Leiden office as well as remote.

Qualifications

Minimum qualifications:

• Currently pursuing a Masters or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.

• Strong working knowledge of machine learning with demonstrated research experience, as evidenced by publications, public code contributions, or equivalent.

• Proficiency in Python and hands-on experience with Deep Learning frameworks such as PyTorch or TensorFlow to tackle scientific problems.

• Strong technical communication and presentation skills.

• Ability to understand academic research papers.

Preferred qualifications:

Experience in one or more of the following:

• Extensive research experience in Multimodal Deep Learning, Large Language Models (LLMs), and/or Graph Neural Networks (GNNs).

• Knowledge of and interest in histopathology images, with experience working with multi-omics datasets.

Responsibilities:

• Development and evaluation of predictive and generative machine learning algorithms to analyze WSI and Omics data for biomarker discovery and patient stratification, etc.

• Collaborate closely with other machine Learning scientists, computational biologist and chemists to develop and execute a research project.

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.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.