Research Intern Ai/ml & Dh

Johnson & Johnson

Cambridge, Massachusetts, United States
Base: $23.00ph to $51.50ph; bonus/equity: not spec...
Hybrid
Self-supervised learning frameworks
Multimodal wearable sensor data
Foundation models
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

  • self-supervised learning frameworks
  • multimodal wearable sensor data
  • foundation models
  • Python programming
  • deep learning frameworks

Nice-to-have

  • wearable sensor data experience
  • multimodal machine learning
  • physiological signal processing
  • digital health applications

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. without sponsorship

Tailored Resume

Cover Letter