Intern Data Science , Computer Vision
Listed on 2026-03-12
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IT/Tech
Data Scientist, AI Engineer
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 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 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- 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. Learn more at
About Med TechFueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at
We are searching for the best talent for Data Science Intern, Computer Vision to be in PA Spring House.
- The Intern term is from June to August, 2026.
- Full time requirement (40 hours per week).
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 leveraging and potentially extending histopathology visual features describing the disease microenvironment of inflammatory conditions to develop machine learning models for predicting clinical trial endpoints and/or metrics of disease state.
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.
You will be responsible- 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.
- Completion of Undergraduate Freshman year at an accredited University is required.
- 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.
- Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
- Strong publication record with the ability to effectively communicate technical work to a…
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