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**Req Number** 169762

Performs research focused on EEG data processing and biomarker development to improve early interventions in first-episode psychosis (FEP). The role centers on developing EEG-based predictive models for treatment response to antipsychotics and neuromodulation therapies. Research expertise in EEG preprocessing, artifact rejection, and feature extraction using MATLAB and/or Python; experience with functional connectivity analyses (e.g., coherence, PLI, imaginary coherence, graph theory); and a strong background in statistical modeling, including machine learning techniques (Lasso, Ridge regression, random forests), linear mixed-effects models, and cross-validation in R or Python. Familiarity with clinical trial data in schizophrenia or depression is expected, along with the ability to independently set up and maintain EEG hardware, design task-based paradigms, and integrate EEG with multimodal data across longitudinal studies. The researcher will join a multidisciplinary team working on projects such as decision-support tools for clozapine initiation, EEG predictors of aggression in schizophrenia, and biomarkers of treatment response to ECT, TMS, and psychedelics.

Requires: Dual MD/PhD with meaningful experience in EEG and psychiatric disorders - preferably schizophrenia.

Salary: $58,539.98 - $92,649.96.

It is Northwell Health’s policy to provide equal employment opportunity and treat all applicants and employees equally regardless of their age, race, creed/religion, color, national origin, immigration status or citizenship status, sexual orientation, military or veteran status, sex/gender, gender identity, gender expression, disability, pregnancy, genetic information or genetic predisposition or carrier status, marital or familial status, partnership status, victim of domestic violence, sexual or other reproductive health decisions, or other characteristics protected by applicable law.