Posted on 2026/02/07
Video Understanding - AI/ML Summer Intern
Johnson & Johnson UK
High Wycombe, United Kingdom
Full Description
Join Johnson & Johnson as a summer intern to develop AI/ML methods for medical video understanding, enhancing clinical trial efficiency.
Your Role
Key responsibilities include:
• Conceive, develop, and implement interviews with key internal clinical personnel to understand needs and use cases around AI tools for endoscopy;
• Participate in cross-functional interviews, drive discussion and follow-up questions to interviewees, and compile answers into briefing report;
• Extract insights from collection of briefing reports focusing on business value of AI pipelines for immunology;
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
About You
The company is looking for:
• Ongoing Ph.D. in a quantitative discipline (e.g., physics, mathematics, computer science, electrical engineering, or similar);
• Demonstrated experience driving research in and applying Computer Vision techniques (e.g., Transformers, CNNs, RNNs, GANs);
• Demonstrated experience on state of the art techniques for video understanding (e.g., foundational models, transformers);
• Proficiency with one or more programming languages such as Python or C++;
• Extensive experience with traditional Computer Vision applications, such as OpenCV, object detection, edge detection, image segmentation;
• Experience with machine learning algorithms, including random forest, SVM, boosting, neural networks, etc.;
• Strong publication record and ability to effectively communicate technical work to a wide audience;
• Preferred: Experience with medical videos such as endoscopy, ultrasound, echocardiogram;
• Preferred:
• Experience with multimodal AI;
• Familiarity with and exposure to drug discovery and clinical development processes;
• Experience working closely with healthcare professionals.
This job may close before the stated closing date, you are encouraged to apply as soon as possible
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