Research Intern Ai/ml & Dh

Johnson & Johnson MedTech

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.
  • Contribute to reproducible research outputs, including publications and well-documented code.

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

  • Currently pursuing a PhD
  • 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