Data Science AI​/ML Summer Intern - Computer Vision - Microscopy

• Fluent in English.

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.

Career Programs

Non-LDP Intern/Co-Op

Career Program

• Brisbane, California, United States of America
• Cambridge, Massachusetts, United States of America
• Raritan, New Jersey, United States of America
• San Diego, California, United States of America
• Spring House, Pennsylvania, United States of America
• Titusville, 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. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Johnson & Johnson Innovative Medicine is currently seeking a summer intern to join our Computer Vision team located in the United States.

The Computer Vision team at Johnson & Johnson Innovative Medicine is seeking a PhD student for a 10-12 week summer research internship. We are looking for a knowledgeable, self‑motivated, and creatively inclined graduate student with a strong interest in computer vision, deep learning, and medical image analysis. The internship will focus on application and refinement of deep learning algorithms to quantitate histopathology in clinical and/or preclinical H&E‑stained whole slide microscopy images.

This internship offers the opportunity to work within a cross‑functional team in a pharmaceutical environment. In addition to gaining technical exposure through the various projects the team is undertaking, you will also gain valuable insights into how algorithms are developed to support clinical trials under the mentorship of experienced scientists, while contributing to initiatives aimed at improving global health.

• Design, develop, implement and validate innovative deep learning solutions addressing high‑priority computer vision challenges in medical imaging.
• Collaborate closely with cross‑functional teams of scientists, engineers, and clinicians to advance algorithm and product development to improve project outcomes.
• Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision‑making.
• Prepare and draft manuscripts outlining development methodologies to contribute to the scientific community.

• Actively pursuing a PhD in a field related to deep learning and computer vision, such as computer science, medical informatics, biomedical engineering, electrical engineering, or a related discipline. Equivalent experience will also be considered.
• Strong publication record with the ability to effectively communicate technical work to a broad audience. Publications in conferences such as CVPR, ICLR, ICCV, ICML, MICCAI, ACL, and NEURIPS are preferred but not mandatory.

• Fluent in English.
• Strong communication & interpersonal skills.
• Ability to work in a matrix organization and participate effectively both independently and as part of multiple teams.
• Capacity to work under strict timelines.
• Strong programming skills in Python and PyTorch.
• Demonstrated solid foundation in applying deep learning techniques for…