AI/ML/Data Science Intern

360Pharma; Netherlands; On-site; EUR 16,000 - 22,000; Part time

Job summary

Johnson & Johnson's Computer Vision team invites a highly motivated master's or PhD student to join as a summer intern. You will contribute to state-of-the-art AI/ML methods for medical image and video understanding across modalities, building foundation and multimodal models that generalize across data types.

You will collaborate with clinical teams, design computer vision solutions, and clearly communicate results to diverse audiences.

Qualifications

• Pursuing Master's or PhD in a quantitative field.
• Experience applying computer vision techniques.
• Proficiency in Python or C++.
• Familiarity with OpenCV and CV applications.

Responsibilities

• Conceive, develop, and conduct interviews with clinical personnel to understand AI needs for medical imaging and video.
• Drive cross-functional discussions, compile briefing reports, and extract business insights from AI pipelines.
• Design, develop, and evaluate CV and multimodal models on medical data.
• Communicate technical methods and results clearly to diverse audiences to support decision-making.

Skills

Transformers

CNNs

RNNs

GANs

Python

C++

OpenCV

Image segmentation

Machine learning

Publication

Education

Master's/PhD in quantitative discipline

Tools

OpenCV

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-arc 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