L
LVIS
Research Scientist

Research Scientist

On-siteSeniorResearch Scientistposted 1mo ago
Role summaryAI-generated

LVIS seeks a PhD-level researcher with 5+ years experience in time-series analysis and signal processing to develop AI-driven neurology tools. The role focuses on building and deploying deep learning models using Python, PyTorch, SciPy, and NumPy.

Skills required

About this role

Company Description

LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. We have an international team with our headquarters located in Palo Alto, California, USA, and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in our mission to transform the neurology health care industry.

Requirements

Minimum Qualification (Required):

  • Must have a Ph.D. in Electrical Engineering or one of the following fields: Computer Science, Mathematics, Physics, Statistics
  • Minimum 5+ years in time-series data analysis and signal processing
  • Proficiency in Python and hands-on experience with frameworks such as PyTorch, SciPy, Numpy
  • Strong understanding of machine learning and deep learning algorithms and their applications in medical settings
  • Proven experience in developing and validating complex algorithms and AI models in Python
  • Excellent communication skills and ability to collaborate within an interdisciplinary team of scientists, engineers, and physicians

Preferred Qualifications

  • First-author publications at peer-reviewed journals and conferences
  • 2+ years of post-doctoral or previous industry experience
  • Experience with neural signal decoding (EEG, ECoG, sEEG)
  • Experience with signal source localization or neuroimaging data analysis

Benefits

Salary Range

  • Expected base salary range: $120,000 – $140,000 annually.
  • Actual compensation may vary based on experience, skills, qualifications, and location.
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