Role overview
*Research Scientist – Machine Learning & Precision Neuroscience
Location:**
Mountain View, CA or Remote
What you'll work on
Machine Learning for Clinical Precision Medicine
Develop predictive ML models for treatment response, patient stratification, and disease characterization in epilepsy, ASD, MDD, and related CNS conditions.
Build advanced ML architectures (transformers for time series, graph models, deep learning, probabilistic models, self-supervised learning) tailored to EEG and multimodal clinical datasets.
Design and implement multimodal fusion approaches integrating EEG, imaging, genomics, and behavioral/clinical measures.
Establish rigorous validation pipelines (nested CV, site-level generalization, calibration, ablation testing) aligned with clinical translational needs and regulatory expectations
Biomarker Discovery & Neurobiological Interpretation
Extract and model neurophysiological features, connectivity, spectral signatures, network dynamics, and developmental markers, relevant to epilepsy, ASD, and MDD.
Apply interpretability tools (SHAP, saliency, attention analysis, feature attribution) to identify biomarkers that are both biologically meaningful and clinically actionable.
Support translation of ML-derived biomarkers into candidate digital or physiological endpoints for clinical trials and treatment-selection tools.
Research Collaboration & Scientific Leadership
Collaborate with clinicians, neuroscientists, ML engineers, and external research partners across epilepsy, ASD, and MDD programs.