Research Scientist at LVIS Corporation

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.

Responsibilities:

• Design and implement experiments related to EEG.
• Develop, experiment, test, and refine novel algorithms toward improving the clinical understanding of neurological diseases.
• Collaborate with product development and engineering teams to integrate data science solutions into our software products and platforms
• Collaborate with Machine Learning Scientist/Engineers to devise and experiment novel deep learning model implementations utilizing medical data.
• Multi-channel EEG data processing and analysis.
• Experiment and test result documentation for publication and regulatory affairs.

Qualifications:

• PhD and 2+ years of post-degree experience in preferably Electrical Engineering. Neuroscience, Bioengineering, Cognitive Neuroscience or other similar fields will be considered.
• Minimum 5+ years in medical data signal processing and neuroscience data analysis.
• Understanding of basic machine learning algorithms and their applications in medical applications.
• Significant exposure to studies of neurological disorders in humans (pediatric, adult, and/or geriatric).
• Proficient programming and data management skills (Python preferred).
• Ability to communicate effectively and collaborate with an interdisciplinary team of scientists, engineers, and physicians.
• Strong understanding of neural oscillations, event detection and biomarker identification 
• Strong experience in neural data analysis (EEG, ECoG, sEEG) including time- and frequency-domain signal processing (filtering, spectral analysis, STFT, denoising. etc) 
• Proven experience in developing and validating machine learning/deep learning models using neural data in Python 
• Familiarity with signal source localization techniques (preferred)