Neuroscience Data Scientist – iEEG & ML

Trustees of University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 50,000 - 58,000; Full time

Job summary

The University of Pennsylvania in Philadelphia is seeking a Research Specialist B in the Department of Neurosurgery to advance intracranial EEG analysis through signal processing and machine learning. The role focuses on developing computational models to identify neural biomarkers and translate findings to clinical research contexts.

The successful candidate will collaborate with neuroscientists, clinicians, and engineers, contributing to data processing pipelines, reproducibility, and rigorous

Qualifications

• BS and 1-3 years of experience or equivalent combination of education and experience is required.

Responsibilities

• Develop and apply advanced signal processing to extract features from iEEG signals.
• Analyze spectral data from iEEG recordings to identify patterns and features related to neural activity or clinical conditions.
• Build, train, and optimize machine learning models to detect and classify biomarkers from high-dimensional iEEG data.
• Identify biomarkers (e.g., power spectral density, phase coherence, connectivity metrics) from intracranial data and validate their relevance for neurological or psychiatric disorders.
• Collaborate with neuroscientists, clinicians, and engineers to integrate data analysis pipelines with clinical trials and protocols.
• Organize, preprocess, and manage large-scale iEEG datasets ensuring data integrity and reproducibility.

Skills

Signal processing

Machine learning

iEEG analysis

Education

Bachelor of Science; 1-3 years experience

Job description

The University of Pennsylvania in Philadelphia is seeking a Research Specialist B in the Department of Neurosurgery to advance intracranial EEG analysis through signal processing and machine learning. The role focuses on developing computational models to identify neural biomarkers and translate findings to clinical research contexts.

The successful candidate will collaborate with neuroscientists, clinicians, and engineers, contributing to data processing pipelines, reproducibility, and rigorous