Mount Sinai Careers

POSTDOCTORAL FELLOW

New York, New York
Research


Job Description

Employment Type: Full Time, 3 years Start Date: Fall 2017

Job Description: We seek candidates for a postdoctoral fellowship who have completed training in neuroscience, neuropsychology, data sciences, biostatistics, epidemiology, or population-based occupational and environmental health with expertise in the analysis of neuroimaging modalities, such as resting-state fMRI, DTI and PET. The candidate will receive mentorship from Dr. Roberto Lucchini the Director of the Division of Occupational and Environmental Medicine. Dr. Lucchini’s epidemiologic research focuses on examining the effects of life course exposure to environmental toxicants such as metals and pesticides on neurologic outcomes from early life to adulthood and old age. The candidate will have the opportunity to collaborate with a team of environmental epidemiologists, psychologists, chemists, biostatisticians and neuroimaging experts.  Work involve conducting neuropsychological assessments, including fMRI, in several ongoing cohort studies, with opportunities to add supplemental studies. The position would also involve developing and applying novel imaging methodologies to further explore factors that influence the relationship between environmental exposures and neurodevelopmental outcomes. The candidate will also be involved in international health data analysis.


Training Opportunities:

Mentorship in environmental epidemiology and neuroimaging

Interdisciplinary advisory committee

Career development seminars

Funded travel to one national scientific conference per year

Annual symposiums with opportunities to present

Formal and informal grant writing training


Duties and Responsibilities: The primary responsibilities of this position are to support ongoing investigations and the development of new studies involving fMRI and other neuroimaging modalities to study the impacts of environmental exposures across the lifespan. This includes data collection, data analysis, manuscript preparation, and grant preparation. Research is geared towards preparing for a NIH K grant application or equivalent and it is our intention that this work will lead to an NIH career development application submitted in years 2-3 of the 3-year fellowship.  Fellows will attend and present at Division/Departmental seminars and relevant research conferences.


Experience: Candidate must have a PhD or equivalent graduate degree in neuroscience, neuropsychology, biostatistics, epidemiology, or population-based occupational and environmental health related field with an interest in environmental health. Experience is also highly recommended in at least one of the following areas:

 

  • Analyzing neuroimaging data
    • Resting state functional magnetic resonance imaging (fMRI)
    • Task-based functional magnetic resonance imaging (fMRI)
    • Diffusion tensor imaging (DTI)
    • Structural Magnetic resonance imaging (MRI)
    • Positron emission tomography (PET)

Application process: Application must contain a cover letter, a curriculum vitae, qualifications and description of planned research.


Salary: Base salary is comparable to NIH stipend rate for each year of experience:
of experience: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html.Work related experience will be considered in determining PGY level and supplementing salary.
will be considered in determining PGY level and supplementing salary.
 
Benefits: Benefits are as described in the Postdoc Handbook: http://icahn.mssm.edu/files/ISMMS/Assets/Files/PostdocHandbook.pdf
 
Postdoctoral Housing: http://icahn.mssm.edu/education/residencies-and-fellowships/housing/postdoctoral-housing


Experience: Candidate must have a PhD or equivalent graduate degree in neuroscience, neuropsychology, biostatistics, epidemiology, or population-based occupational and environmental health related field with an interest in environmental health. Experience is also highly recommended in at least one of the following areas:

 

  • Analyzing neuroimaging data
    • Resting state functional magnetic resonance imaging (fMRI)
    • Task-based functional magnetic resonance imaging (fMRI)
    • Diffusion tensor imaging (DTI)
    • Structural Magnetic resonance imaging (MRI)
    • Positron emission tomography (PET)