Ai/Ml/Data Science Intern

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:

Barcelona, Spain, Boston, Massachusetts, United States of America, High Wycombe, Buckinghamshire, United Kingdom, Leiden, Netherlands, Madrid, Spain, New Brunswick, New Jersey, United States of America, New York, New York, United States, Spring House, Pennsylvania, United States of America, Zug, Switzerland

Job Description:

Job Description:

We are seeking highly skilled and motivated candidates to join our Computer Vision team at Johnson & Johnson. As a summer intern, you will have the unique opportunity to contribute to the development and implementation of state-of-the-art AI/ML methods for medical image and video understanding. Specifically, your role will focus on utilizing advanced AI techniques to extract valuable insights from a wide range of medical imaging modalities such as endoscopy and ultrasound videos, X-rays, dermatology/skin images, retinal OCT scans, and histopathology slides as well as building foundation and multimodal models that generalize across these data types. By leveraging these cutting-edge technologies, you will enhance our understanding of medical conditions, procedures, and interventions, and ultimately help improve clinical trial efficacy and efficiency.

Key Responsibilities:

• Conceive, develop, and implement interviews with key internal clinical personnel to understand needs and use cases around AI tools for medical imaging and video;
• Participate in cross-functional interviews, drive discussion and follow-up questions to interviewees, and compile answers into briefing reports;
• Extract insights from a collection of briefing reports focusing on the business value of AI pipelines across therapeutic areas;
• Design, develop, and evaluate computer vision and multimodal models on medical imaging and video data;
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Qualifications:

Required Qualifications:

• Ongoing Master's/PhD degree 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 with state-of-the-art techniques for image and/or video understanding (e.g., foundation 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, and 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 Qualifications:

• Experience with medical imaging or video modalities, such as endoscopy, ultrasound, X-ray, dermatology/skin imaging, retinal OCT, or histopathology;
• Experience with foundation models and/or multimodal AI;
• Familiarity with and exposure to drug discovery and clinical development processes;

Experience working closely with healthcare professionals

Target Start Date:- 1st March 2027

Duration of the internship:- 6 months

Required Skills:

Preferred Skills: