Summer Intern, Digital Signal/Imaging AI

Johnson & Johnson

. Work with colleagues in the J&J Innovative Medicine R&D Data, Data Science, and AI organization .

Posted 10/16/2026full-timeRemote • United States, Netherlands, SwitzerlandEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and machine learning applications within healthcare, with strong capabilities in predictive modeling and data analysis. Proficient in Python or R for developing machine learning models and analyzing complex datasets.

Highest-signal resume keywords

PhD In Biomedical EngineeringMachine Learning ExpertiseAdvanced Python Or R SkillsPredictive Modeling And StatisticsExperience With Wearable Sensor Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive ModelingData AnalysisStatisticsData CleaningData QualityNeuroimaging Data ProcessingDigital Biomarker DiscoveryDisease Severity ModelingBehavioral Data Insights

Soft Skills

Technical CommunicationPresentation Skills

Tools & Technologies

PythonRPyTorch

Industry Keywords

Biomedical EngineeringData ScienceAI In HealthcareWearable DevicesClinical RecordsMedical ImagingFoundation ModelsSemi-Supervised LearningSelf-Supervised Learning

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Work with colleagues in the J&J Innovative Medicine R&D Data, Data Science, and AI organization
Partner with key businesses across J&J Innovative Medicine to apply advanced data science and analytics to answer research questions
Work on cutting-edge problems at the intersection of AI and healthcare
Collaborate with data scientists and subject matter experts to create and iterate on data science solutions
Process and analyze wearable sensor and neuroimaging data
Develop machine learning models for digital biomarker discovery
Validate digital health endpoints
Generate insights from real-world physiological and behavioral data
Model and predict disease severity and progression
Discover disease subtypes

Requirements

What you’ll need

Currently pursuing a PhD degree in Biomedical Engineering, Electrical Engineering, Neuroscience, Applied Mathematics, Statistics, Data Science, or a related quantitative discipline
Strong working knowledge of AI and machine learning
Advanced in Python or R
Strong skills in predictive modeling, statistics, and analysis of large datasets
Strong technical communication and presentation skills
Basic knowledge of data cleaning and data quality
Permanently authorized to work in the U.S.; must not require sponsorship of an employment visa at the time of application or in the future
Preferred: Experience processing and analyzing sensor, wearable device, clinical records, and/or medical imaging data
Preferred: Proficiency with PyTorch
Preferred: Experience with semi-supervised and/or self-supervised learning
Preferred: Experience with Foundation Models

Benefits

Comp & perks

Inclusive work environment
Equal Opportunity Employer
Interview process accommodations for applicants with disabilities