AI/ML Summer Intern - Computer Vision - Ophthalmology

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 MedTech, 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 more at jnj.com

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:

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

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 https://www.jnj.com/innovative-medicine

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

Position Overview - Tasks & Responsibilities:

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 ophthalmology imaging, specifically OCT, OCTA, FAF, Fundus, etc.

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.

Responsibilities:

· 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.

Qualifications - Education and Experience:

· 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.

Qualifications - Skills:

· 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 computer vision and image analysis, particularly in object detection and image segmentation.

· Experience working with ophthalmology imaging data is highly preferred.

· Experience working with JSON and pandas is preferred.

Our Offering:

· 3 months full time internship in an international healthcare company to grow your professional experience, required availability from May to August, 2026.

· Exciting and intensive insight into one of the largest pharmaceutical companies in the world.

· Great team and excellent sense of belonging.

· Gain technical exposure through various projects the team is undertaking.

· Acquire valuable insights into algorithm development in support for clinical trials under the mentorship of experienced scientists.

· Contribute to initiatives aimed at improving global health.

· Flexible working conditions with fully remote options available.

· Many attractive benefits to support your physical, mental and financial wellbeing.

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:  https://www.careers.jnj.com/employee-benefits 

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 https://www.careers.jnj.com 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, 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 disability and would like to request an accommodation,  external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$31.00/hr to $59.00/hr

Additional Description for Pay Transparency:

The expected pay range for this position is between $31.00 per hour and $59.00 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).