Postdoctoral Fellow-MSH-13400-374

Responsibilities

• Conduct empirical studies in computational psychiatry, analyze multi-modal datasets, and synthesize insights to support hypothesis-driven research and evidence-based treatment strategies.
• Work collaboratively within an interdisciplinary team, and contribute to mentoring junior researchers, including graduate students and research assistants.
• Auxiliary in recruiting and consenting patients with chronic schizophrenia that have previously failed to respond to antipsychotics including clozapine and are able to safely comply with a study involving brain surgery and management of an implanted device.
• Auxiliary in collecting intraoperative data, pre-and postoperative MRI scans and follow-up recordings, and assist in patient device management.
• Auxiliary in analyzing home-based audiovisual (face, speech) data that can be correlated with recordings of symptoms and brain sensing.

Qualifications

• Education: M.D. or Ph.D. in Neuroscience, Medicine, Computer Science, Machine Learning, Data Science, Biomedical Informatics, Electrical Engineering, or a related field.
• Research Background: Demonstrated experience in one or more of the following areas: computational psychiatry, machine learning, and AI.
• Technical Skills: Proficiency in programming languages such as Python or MATLAB is highly desirable.
• Analytical Abilities: Excellent data analysis skills and familiarity with methodologies used in biomedical research.
• Communication Skills: Strong written and verbal communication skills, with a proven track record of research publications.
• Experience Required: 1-2 years of Research Experience

Benefits

This study, titled, “Phenotypes REimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR)”, will use objective, scalable, and cost-effective measurements to define novel clinical signatures that can be used for individual-level prediction and clinical decision-making in treating mental health disorders. This study, titled, "Substantia Nigra Deep Brain Stimulation for Treatment Resistant Schizophrenia”, will pilot the feasibility of deep brain stimulation in patients with schizophrenia including home-based recordings of symptom severity, audiovisual features and brain activity. These pilot data will be used to apply for an NIH-funded study investigating the efficacy and mechanism of SNr DBS in schizophrenia.

Pay

$72,500 - $80,000 Annually

Schedule

N/A