Principal Data Scientist β€” Biomedical ML & Neural Signals in London

Principal Data Scientist β€” Biomedical ML & Neural Signals in London

London Full-Time 90000 - 120000 Β£ / year (est.) No working from home possible
CoMind

At a Glance

  • Tasks: Lead data science initiatives in developing neuromonitoring technology and signal processing methodologies.
  • Company: CoMind, an innovative company in Greater London focused on biomedical technology.
  • Benefits: Company equity, comprehensive insurance, and unlimited holiday allowance.
  • Other info: Enjoy a hybrid work setting with opportunities for professional growth.
  • Why this job: Make a significant impact in healthcare with cutting-edge neuromonitoring technology.
  • Qualifications: 15+ years of experience in data science, specialising in physiological data.

The predicted salary is between 90000 - 120000 Β£ per year.

CoMind, located in Greater London, seeks a Principal Data Scientist to lead data science initiatives in the development of neuromonitoring technology. You will take ownership of signal processing methodologies and ML model development in a hybrid work setting.

The role requires 15+ years of experience in data science, with a focus on physiological data.

Benefits include company equity, comprehensive insurance, and an unlimited holiday allowance.

Principal Data Scientist β€” Biomedical ML & Neural Signals in London employer: CoMind

CoMind is an exceptional employer that fosters innovation and collaboration in the heart of Greater London. With a strong emphasis on employee growth, we offer comprehensive benefits including company equity, extensive insurance coverage, and an unlimited holiday allowance, all within a supportive hybrid work culture that values your contributions to cutting-edge neuromonitoring technology.

CoMind

Contact Details:

CoMind Recruitment Team

We think you need these skills to ace Principal Data Scientist β€” Biomedical ML & Neural Signals in London

Python
Communication Skills
SQL
Problem-Solving Skills
Automation
Data Engineering
Attention to Detail