Psychiatry - Clinically Trained Post-Doctoral Fellow for Clinical and Translational Research - Manhattan, NY

Post-Doctoral Fellow In Clinical And Translational Research

The Icahn School of Medicine at Mount Sinai is seeking a highly motivated clinically trained post-doctoral fellow to conduct clinical and translational research in psychosis spectrum disorders or mood disorders. T32 funding is available. Candidates must be highly motivated in the use of neuroscience methods to understand mechanisms of dysfunction in clinical populations including mood disorders, schizophrenia and bipolar disorder. The fellow will receive one-on-one mentoring and structured coursework in clinical and translational research methodology and work in a collaborative, multi-disciplinary environment to gain experience in clinical and translational research. This will occur in the intellectually stimulating setting of our vibrant departments of psychiatry and Neuroscience. Fellows will have the opportunity to draw from the substantial resources of the Icahn School of Medicine, including resources located within the Friedman Brain Institute and the Translational and Molecular Imaging Institute, in order to carry out high-impact clinical and translational research. Travel and pilot funding stipends are available, and salaries are competitive.

The primary responsibilities of the fellow will be to assist in managing research projects, analyze research data, present findings at national and/or local conferences, and write up results for publication. The fellow will also be responsible for overseeing the smooth running of patients in the studies and assisting the research coordinators in ongoing efforts of subject recruitment, lab management, and data organization. US citizenship or green card is required. An M.D. and/or a Ph.D. is required. Clinical training (residency +/- clinical fellowship for MDs and clinical internship for PhDs) is required. Experience with clinical populations and/or clinical assessment is preferred. Strong skills in experimental design, quantitative methods/statistical modeling, and the ability to carry out independent data analyses using standard software packages (e.g., SPSS, SAS, and/or R, Python, SPM, FSL, and/or AFNI) are preferred. The successful candidate must demonstrate solid mastery of written English and show evidence of peer-reviewed publications.