Titusville or Cambridge or Brisbane or Raritan or Spring House or San Diego Hybrid Employment USD 64,480 - 122,720 Hourly

Johnson & Johnson is hiring an AI/ML Summer Intern - Computer Vision - Ophthalmology

About the Role

Johnson & Johnson is looking for an AI/ML Summer Intern - Computer Vision - Ophthalmology to join our pharmaceutical research team. This internship focuses on applying deep learning to ophthalmology imaging and contributing to algorithm development in a clinical trial context.

What You'll Do

  • 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.
  • Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders.
  • Prepare and draft manuscripts outlining development methodologies to contribute to the scientific community.

What We're Looking For

  • Actively pursuing a PhD in a field related to deep learning and computer vision (e.g., computer science, medical informatics, biomedical engineering). Equivalent experience will also be considered.
  • Strong publication record with the ability to effectively communicate technical work to a broad audience.
  • Fluent in English. Strong communication and 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.
  • Permanently authorized to work in the U.S., must not require sponsorship of an employment visa at the time of application or in the future.

Nice to Have

  • Publications in conferences such as CVPR, ICLR, ICCV, ICML, MICCAI, ACL, and NeurIPS.
  • Experience working with ophthalmology imaging data.
  • Experience working with JSON and pandas.

Technical Stack

  • Python
  • PyTorch
  • JSON
  • pandas

Team & Environment

You will be part of a cross-functional team of scientists, engineers, and clinicians.

Benefits & Compensation

  • Compensation: $31.00/hr to $59.00/hr
  • 3-month full-time internship in an international healthcare company.
  • Intensive insight into one of the largest pharmaceutical companies in the world.
  • Gain technical exposure through various projects the team is undertaking.
  • Acquire valuable insights into algorithm development in support for clinical trials under mentorship.
  • 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.
  • Eligible for Company sponsored employee medical benefits.
  • Eligible for sick time benefits: up to 40 hours per calendar year (up to 56 hours for Washington residents).
  • Eligible to participate in the Company’s consolidated retirement plan (pension).

Work Mode

This is a hybrid position. Locations include Brisbane, California; Cambridge, Massachusetts; Raritan, New Jersey; San Diego, California; Spring House, Pennsylvania; and Titusville, New Jersey.

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 law.

Required Skills
PythonPyTorchJSONpandasDeep LearningComputer VisionMedical InformaticsBiomedical EngineeringCommunicationTeam Collaboration
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About company
Johnson & Johnson

Johnson & Johnson is a global healthcare company leveraging its expertise in Innovative Medicine and MedTech to prevent, treat, and cure complex diseases through smarter, less invasive, and more personalized solutions.

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Job Details
Department Research and Development (R&D)
Category data
Posted 14 days ago