Research Scientist

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Research Scientist

LVIS

120,000–140,000 / Year

Location

Palo Alto, California, United States

Experience

Senior

Posted

Jul 10, 2026

Apply by

August 9, 2026

Applicants

0

Early applicantFull-timeWork from Office

Job Description

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

Key Responsibilities

  • Develop and validate complex algorithms and AI models in Python
  • Perform time-series data analysis and signal processing
  • Apply machine learning and deep learning algorithms in medical settings
  • Collaborate with interdisciplinary teams of scientists, engineers, and physicians

Requirements

  • Ph.D. in Electrical Engineering
  • Ph.D. in Computer Science
  • Ph.D. in Mathematics
  • Ph.D. in Physics
  • Ph.D. in Statistics

Skills Required

PythonPyTorchSciPyNumpyTime-series data analysisSignal processingMachine learningDeep learningCommunicationCollaborationNeural signal decodingEEGECoGsEEGSignal source localizationNeuroimaging data analysis

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