Postdoctoral Fellow
Not Disclosed•Full-TimeOn-site
location_on9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
About the Team
The Department of Psychiatry at the Icahn School of Medicine at Mount Sinai is dedicated to advancing the understanding of brain health through rigorous scientific inquiry. This role sits within a multidisciplinary research environment focused on women's brain health, specifically examining the neurobiological and cognitive consequences of surgically induced menopause.
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, comprising eight hospitals, over 400 outpatient practices, and leading schools of medicine and nursing. We are consistently ranked by U.S. News & World Report, holding the No. 1 spot in Geriatrics and top rankings in Cardiology, Neurology, and more. The Icahn School of Medicine is ranked No. 11 nationwide in NIH funding, reflecting our commitment to discovering and applying new scientific knowledge to transform healthcare.
About the Role
This position offers a unique opportunity to study how rapid changes in reproductive endocrine status affect brain structure, function, metabolism, and cognition. The project utilizes a clinically important model of abrupt ovarian hormone deprivation to identify neural and multidomain biomarkers that clarify mechanisms of risk and resilience.
As a Postdoctoral Fellow, you will lead the neuroimaging and multidomain data analysis for this project. Your work will involve developing reproducible workflows for preprocessing structural MRI and other neuroimaging modalities, conducting rigorous quality control, and integrating imaging measures with cognitive, clinical, and hormonal data. You will apply statistical models to longitudinal and cross-sectional analyses to generate high-quality datasets and reproducible processing workflows. The role requires close collaboration with investigators, coordinators, and statisticians to prepare manuscripts, grant materials, and conference presentations that contribute to the broader goal of informing future strategies for early identification and intervention in women's brain health.
Hiring Process
Interested candidates should submit their application materials to the administrative contact, Abigail Polanco. The selection process will involve a review of qualifications, including a PhD, MD/PhD, or equivalent doctoral degree in neuroscience, biomedical engineering, or related fields, with a strong background in human neuroimaging and statistical programming.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, and visitors feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers and promote fairness in all aspects of our organization.
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Skills, education and keywords
Skills: R, Python, Matlab, Human Neuroimaging, Mri Preprocessing, Quality Control, Statistical Analysis, Longitudinal Data Analysis, Data Harmonisation, Version Control.
Education: PhD or equivalent doctoral degree in specified fields required.
Frequently asked questions about Postdoctoral Fellow at Mount Sinai Health System
What does a Postdoctoral Fellow at Mount Sinai Health System do?expand_more
A Postdoctoral Fellow at Mount Sinai Health System is responsible for the following: Develop and implement reproducible workflows for neuroimaging data preprocessing, quality control, analysis, and documentation; Conduct rigorous quality control of imaging data including visual inspection, automated metrics, and motion assessment; Integrate neuroimaging measures with cognitive, clinical, hormonal, demographic, and biomarker data; and Apply statistical models for longitudinal and cross-sectional analyses of biomedical and behavioral data.
What are the requirements for this Postdoctoral Fellow role?expand_more
To qualify for the Postdoctoral Fellow at Mount Sinai Health System position, applicants should have: PhD, MD/PhD, or equivalent doctoral degree in neuroscience, biomedical engineering, computer science, biostatistics, epidemiology, neuroimaging, biomedical data science, or closely related field; Strong background in human neuroimaging; Experience with statistical programming in R, Python, MATLAB, or equivalent; Experience with MRI preprocessing, quality control, and imaging-derived measures; Experience with statistical analysis of biomedical, cognitive, clinical, or behavioural data; and Proficiency in at least one major programming or statistical environment.