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Precision Neurotherapeutics Lab at Stanford University seeks a full-time Assistant Clinical Research Coordinator to support NIH-funded projects developing personalized TMS treatments for depression.
The candidate will work with engineers, clinicians, and statisticians across Stanford and partner institutions, coordinating screening, consent, and data collection while contributing to software development for real-time EEG monitoring and closed-loop brain stimulation.
The Precision Neurotherapeutics Lab (precisionneuro.stanford.edu) in the Department of Psychiatry and Behavioral Sciences at Stanford University is seeking a full-time Assistant Clinical Research Coordinator (ACRC). The primary focus will be to assist with multiple NIH-funded projects to develop more personalized TMS treatments for depression. We have found an EEG biomarker that predicts treatment outcome to transcranial magnetic stimulation (TMS) in depressed patients. Using machine learning, our projects seek to maximize this EEG biomarker and improve the efficacy of this treatment.
The candidate will have the opportunity to collaborate with engineers, clinicians (neurologists, psychiatrists, neurosurgeons), and statisticians both within Stanford as well as outside institutions. The candidate must be organized, enjoy problem solving, be a team player and have strong communication skills. This is an opportunity for a highly motivated and reliable person to participate in a fast-paced, collaborative and challenging team. The ideal candidate would be willing to accept the position for 2 years, although a shorter time frame may be an option. This position will provide valuable experience in both clinical and basic research, as well as clinical exposure, which makes it an excellent opportunity interested in pursuing an MD, PhD, or both. Previous candidates have matriculated to highly competitive graduate and medical school positions.
Strong interpersonal skills and highly motivated
Experience working with patient populations
Experience programming
Experience with EEG brain recordings
Able to work in-person at Stanford University