AI Summer Research Intern

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. Learn

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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 Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Cambridge, Massachusetts, United States of America

Job Description:

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.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at

We are looking for the best talent for an AI Summer Research Intern.

Position Overview - Tasks & Responsibilities:

As an AI summer research intern, you will join our Data Science R&D team and work closely with senior AI scientists to develop next-generation AI/ML models for drug discovery.

You will design and implement innovative multimodal foundation model architectures for spatial omics, single-cell RNA-seq, imaging, etc. to enable advanced biological representation learning and "virtual cell" modeling.

This is a highly research driven role with opportunities to contribute to novel methods and publications

Qualifications
- Education and Experience:

* PhD student in AI/ML, Computer Science, Electrical Engineering, Computational Biology, or a related field

* Strong research background in deep learning, demonstrated by publications in top-tier venues (e.g., ICML, ICLR, CVPR, NeurIPS)

* Expertise in deep learning, particularly multimodal models, foundation models, LLMs, and geometric deep learning

* Familiarity with single cell and spatial omics is a strong plus

* Strong analytical thinking and research execution skills

* Excellent communication and collaboration abilities

* Ability to work effectively in fast-paced, research-intensive environments

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.

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year;

for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company's consolidated retirement plan (pension).

For additional general information on Company benefits, please go to:

This job posting is anticipated to close on 03/13/2026. The Company may however extend this time-period, in which case the posting will remain available on  to accept additional applications.

Ineligibility for severance.

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,…