Johnson & Johnson→
Data Science AI/ML Summer Intern - Computer… at Johnson &… · Spring…
InternshipHybridFull-timeSpring House, Pennsylvania, United States of America$48k–$107k/yr
Skills
deep learningcomputer visionpythonpytorchimage analysishistopathology datajsonpandascommunicationinterpersonal skills
Job Description
Summary: Johnson & Johnson is a leading healthcare company focused on innovative medicine and medical technology. They are seeking a summer intern for their Computer Vision team to work on developing deep learning algorithms for medical image analysis, specifically in histopathology. This internship offers hands-on experience in a pharmaceutical environment 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
Required Qualifications:
- 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
- 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
Preferred Qualifications:
- Publications in conferences such as CVPR, ICLR, ICCV, ICML, MICCAI, ACL, and NEURIPS are preferred but not mandatory
- Experience working with histopathology data (whole slide images) is highly preferred
- Experience working with JSON and pandas is preferred
Required Skills: Deep learning, Computer vision, Python, PyTorch
Important Skills: Image analysis, Histopathology data
Nice-to-Have Skills: JSON, Pandas, communication, Interpersonal skills
Benefits: 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).
Benefits
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).