Post Doc Scientist Data Science Ai/ml

Johnson & Johnson

Cambridge, MA, USA
**
Phd in computer science or biomedical engineering
Experience with wearable biosensor data analysis
Advanced ai and signal processing methods
** Johnson & Johnson is seeking a Postdoctoral Scientist specialized in AI/ML and Digital Health to join their Innovative Medicine Research & Development team. The role involves analyzing data from wearable sensors, developing digital biomarkers, and enhancing AI algorithms to improve healthcare solutions. **

Job Summary

  • The role involves analyzing data from wearable sensors to develop digital biomarkers using advanced AI methodologies.
  • Candidates will build novel AI algorithms and time-series models specifically for digital endpoint development and validation.
  • Johnson & Johnson offers an inclusive work environment where employees are respected for their diversity and merit.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Postdoctoral Scientist specialized in AI/ML and Digital Health to join their Innovative Medicine Research & Development team. The role involves analyzing data from wearable sensors, developing digital biomarkers, and enhancing AI algorithms to improve healthcare solutions. **

Skills & Requirements

Must-have

  • PhD in computer science or biomedical engineering
  • Experience with wearable biosensor data analysis
  • Advanced AI and signal processing methods
  • Python, R, or MATLAB programming proficiency
  • Time-series modeling for digital endpoints

Nice-to-have

  • Familiarity with drug discovery processes
  • Experience with digital endpoint validation frameworks
  • Strong interpersonal and communication skills
  • Collaborative work in dynamic environments
  • Publication record in peer-reviewed journals

Key Requirements

  • Recent PhD degree within 3 years
  • Degree in computer science, electrical engineering, or biomedical engineering
  • Proven experience with high-frequency biosensor data
  • Demonstrated scientific excellence via publications

Work Rights

Not specified

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