Location: Los Angeles, CA
Cap-Exempt H-1B Position — No lottery required
Job #JPF11038 - Medicine-Gastroenterology / David Geffen School Of Medicine / UCLA POSITION OVERVIEW **Salary range:** See Table 23. A reasonable estimate for this position is $69,073- $79,881. APPLICATION WINDOW **Open date:** May 26, 2026 **Next review date:** Friday, Jun 26, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. **Final date:** Tuesday, Dec 1, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. POSITION DESCRIPTION The Goodman-Luskin Microbiome Center and the Center for Neurobiology of Stress and Resilience in the Division of Digestive Diseases, Department of Medicine at UCLA, are seeking full-time postdoctoral scholars for R01-funded projects studying the brain-gut microbiome mechanisms of action underlying stress-based disorders such as obesity and cognitive decline. The Centers are comprised of multidisciplinary teams conducting clinical, translational and basic research with human populations. The postdoctoral scholars will work directly with Dr. Arpana Church, and other faculty collaborators. The projects use multimodal MRI sequences combined with measures of the gut microbiome and dimensional neuropsychiatric, behavioral and/or diet measures (i.e., tasks, questionnaires, heart rate variability, digital phenotyping, cognitive, diet, and clinical measures) to study structural and functional circuit dynamics in various diseases. There will be opportunities to develop translational and clinical research skills (e.g., target discovery, individualized treatment development and biomarker/predictor development), in addition to analysis methods and pipelines to address basic and pathophysiological systems biology questions. There will be many opportunities to lead high impact publications starting on day one. We will be working with existing unique datasets in additi