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Hi SOCNET – please see a post doc position that may be of interest to listserv members.


From: Duncan, Dustin [mailto:[log in to unmask]]
Sent: Tuesday, March 13, 2018 7:42 PM
To: Duncan, Dustin <[log in to unmask]>
Cc: Brooks, Brandon <[log in to unmask]>
Subject: Postdoctoral Research Fellowship In Spatial Epidemiology and HIV Prevention Research

Dear Colleagues and Friends,

Please share the following postdoc ad with your colleagues and students. The postdoc fellow will focus on spatial epidemiology and HIV prevention research in vulnerable populations.


Job Announcement – NYU Spatial Epidemiology Lab

The Spatial Epidemiology Lab at New York University (NYU) School of Medicine’s Department of Population Health, led by Dr. Dustin Duncan, is hiring a full-time Postdoctoral Research Fellow. The NYU Spatial Epidemiology Lab (<>) is a dynamic and active research group focused on connecting neighborhoods and health. The lab employs a geospatial lens in studying health behaviors and outcomes, especially obesity, hypertension, sleep, mental health, drug abuse, and HIV. The lab has an emphasis on health disparities and vulnerable populations, with a strong focus on sexual and gender minority populations, including gay, bisexual and other men who have sex with men (MSM). The postdoctoral research focus will be on the study of spatial epidemiology in HIV prevention in vulnerable populations.

The selected postdoctoral fellow will assist with oversight and management of existing grant projects (including a CDC-funded project focused on understanding the role of neighborhoods and networks in relation to HIV prevention and care behaviors among Black MSM in New Orleans, LA and Jackson, MS), supervision of staff, and data analyses and manuscript writing. The fellow will receive mentorship in grant writing (including K career development award or R-level grant). We have a number of geospatial health datasets that the fellow can analyze, including a dataset of 253 MSM in New York City who were GPS-tracked for two-weeks. Significant research experience (as evidenced by peer-reviewed publications) and a demonstrated interest in HIV/AIDS, LGBT, and/or neighborhoods research are necessary; a strong background in previous project management, statistical analyses and GIS and/or GPS experience is highly desired.

The commitment is 1-2 years. NYU is an equal opportunity employer and we strongly encourage applications from individuals from diverse backgrounds, including racial/ethnic and sexual/gender minorities. Candidates from underrepresented backgrounds are particularly encouraged to apply—opportunities exist to develop Diversity Supplements to our ongoing NIH grants.

MINIMUM REQUIREMENTS: PhD, ScD or DrPH in social sciences or public health, epidemiology, geography or related field.

SALARY: Salary is competitive and commensurate with experience. Includes a competitive full-time benefits package.

START DATE: By Fall 2018. Can be as early as Summer 2018.

HOW TO APPLY: Please submit a cover letter describing relevant research experience, a curriculum vitae, and 3-5 representative publications via email to Mr. Brandon Brooks ([log in to unmask]<mailto:[log in to unmask]> and [log in to unmask]<mailto:[log in to unmask]>) with the subject line Postdoc Research Position. Candidates should also provide the names and email addresses for three individuals familiar with their work who can be contacted for recommendations. Only those applicants who are selected for interviews will be directly contacted.

APPLICATION DEADLINE: This position will remain open until a qualified applicant is found.

All my best,


Dustin T. Duncan, ScD
Associate Professor
Director, Spatial Epidemiology Lab
Department of Population Health
NYU School of Medicine
NYU Langone Health
Office: 227 E. 30th Street, New York, NY 10016
Phone: 00-1-646-501-2674
Email: [log in to unmask]<mailto:[log in to unmask]>
Twitter: @DrDustinDuncan
Skype: spatialepilab
Pronouns: He, Him, His

Research Coordinator: Brandon Brooks, MPH
Phone: 00-1-646-501-2521
Email: [log in to unmask]<mailto:[log in to unmask]>

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