Research Intern Ai/ml & Dh

Johnson & Johnson

Cambridge, Massachusetts, United States of America
Base: $23.00ph to $51.50ph; bonus/equity: not spec...
Hybrid
Foundation models for multimodal wearable sensor data
Self-supervised and multimodal representation learning
Deep learning for time-series data
Support the development of foundation models for multimodal wearable sensor data, including accelerometer, PPG, ECG, and other physiological signals

Job Summary

  • Support the development of foundation models for multimodal wearable sensor data, including accelerometer, PPG, ECG, and other physiological signals.
  • Work on self-supervised and multimodal representation learning to build scalable models that generalize across digital health applications.
  • Develop innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas.

Matching Summary

Support the development of foundation models for multimodal wearable sensor data, including accelerometer, PPG, ECG, and other physiological signals.

Salary

Base: $23.00/hr to $51.50/hr; Bonus/Equity: Not specified; Benefits: Medical benefits, sick time, retirement plan

Skills & Requirements

Must-have

  • foundation models for multimodal wearable sensor data
  • self-supervised and multimodal representation learning
  • deep learning for time-series data
  • Python and deep learning frameworks

Nice-to-have

  • human activity recognition
  • sleep staging
  • cardiovascular monitoring
  • gait analysis
  • digital biomarker discovery

Key Requirements

  • PhD in Machine Learning, AI, Computer Science, Biomedical Engineering, Signal Processing, or related fields
  • Completion of Undergraduate Freshman year
  • Cumulative GPA of 2.8 or higher
  • Permanently authorized to work in the U.S.

Work Rights

Must be permanently authorized to work in the U.S.

Tailored Resume

Cover Letter