AI/ML/Data Science Intern

Johnson & Johnson

. Conceive, develop, and implement interviews with key internal clinical personnel to understand needs and use cases around AI tools for medical imaging and video .

Posted 10/14/2026internshipUnited StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computer vision and multimodal AI techniques, with a strong focus on medical imaging and video data. Proficient in articulating complex technical concepts to diverse audiences and driving research that enhances clinical trial efficacy.

Highest-signal resume keywords

Computer Vision TechniquesProgramming Languages (Python, C++)Machine Learning AlgorithmsMedical Imaging ExperienceStrong Publication Record

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TransformersCNNsRNNsGANsOpenCVObject DetectionImage SegmentationRandom ForestSVMNeural Networks

Soft Skills

Effective CommunicationCross-Functional Collaboration

Certifications & Qualifications

Master's DegreePhD Degree

Industry Keywords

AI ToolsMedical ImagingVideo UnderstandingClinical Trial EfficacyDrug DiscoveryClinical Development

Tech Stack

Tools & technologies

PythonRayC++

About the role

Key responsibilities & impact

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 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
Contribute to state-of-the-art AI/ML methods for medical image and video understanding
Develop foundation and multimodal models that generalize across medical data types
Help improve clinical trial efficacy and efficiency

Requirements

What you’ll need

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

Benefits

Comp & perks

6-month internship duration
Hybrid work arrangement