Integrated Data Product Intern at Johnson & Johnson

Job Description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Sub Function:
Non‑LDP Intern/Co‑Op

Raritan, New Jersey, United States of America

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Integrated Data Product Intern to be in Raritan, New Jersey.

• The Intern term is from May to August 2026.
• Full time requirement (40 hours per week).

In this role, you will support Responsible AI activities for AI/ML use cases across the pharmaceutical value chain, conducting research on emerging AI regulations and external guidance related to explainability, algorithmic accountability, and risk management in regulated environments. You will track industry developments, summarize key insights, and translate them into practical recommendations for internal teams. Additionally, you will help prepare presentations, briefing materials, and internal guidance documents to advance Responsible AI practices within the organization.

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
• Strong working knowledge of data science 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.
• Demonstrate a solid technical background in developing physiological signal processing algorithms and a good understanding of the underlying mathematics.
• Strong technical communication and presentation skills.
• Basic understanding of healthcare systems and digital health technologies.

• Knowledge of epidemiology and experience in analysis of healthcare datasets: claims, EMR/EHR, survey, observation studies.
• Conduct research on the latest trends in digital health and propose innovative ideas for new initiatives or improvements.
• Possess a strong knowledge of GPU and high‑performance computing techniques for efficient data processing.
• Experience with one of the cloud providers like AWS/Azure/GCP, have knowledge developing both cloud‑native applications.

Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a…