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 10/20/2026full-timeRemote • United States, Netherlands, Belgium, 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, with experience in processing wearable sensor and neuroimaging data to derive insights and validate digital health endpoints.

Highest-signal resume keywords

PhD In Biomedical EngineeringMachine Learning ExpertiseAdvanced Python Or R SkillsPredictive Modeling And StatisticsExperience With PyTorch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData AnalysisMachine LearningData CleaningStatisticsData QualityNeuroimaging Data ProcessingWearable Sensor Data AnalysisDigital Biomarker DiscoveryDisease Severity Modeling

Soft Skills

Technical CommunicationPresentation Skills

Tools & Technologies

PythonRPyTorch

Industry Keywords

AIData ScienceDigital HealthReal-World DataBiomedical Engineering

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
Experience with 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 (preferred)
For U.S. employment: permanently authorized to work in the U.S. and must not require sponsorship of an employment visa at the time of application or in the future

Benefits

Comp & perks

Inclusive work environment
Equal opportunity employment
Interview process accommodations for applicants with disabilities