Post Doctoral Associate - (P.I.: Dr. Fernando Hugo)

at  New York University

DESCRIPTION

The Department of Epidemiology and Health Promotion seeks motivated applicants with training and experience in epidemiology, public health, or the equivalent to join our team. The postdoctoral researcher position is available in the department, working with the Department Chair Dr. Fernando Neves Hugo.
The dental research community has largely neglected the oral health of vulnerable populations. Few studies have evaluated the adequacy of dental care delivery models or the effectiveness of health promotion and oral health prevention interventions in these groups.
The postdoctoral researcher will benefit from unique resources within the Department and College of Dentistry, including the Oral Health Center for People with Disabilities. The Center provides comprehensive dental care for patients whose disabilities or medical conditions prevent them from receiving care in conventional dental settings and is one the largest of its kind in New York State.
Responsibilities include organizing data collection within the NYU Dentistry Oral Health Center for Persons with Disabilities, exploring research opportunities and preparing grant proposals under leadership of the Department Chair, analyzing existing data, preparing manuscripts, preparing research briefs for outreach to local communities/leadership to improve dissemination of our research, and career development. Opportunities for teaching and mentoring undergraduate and graduate students are available. NYU provides extensive opportunities for career development.
In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $65,00.00- $75,000.00. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

QUALIFICATIONS

Successful candidates should have a PhD in Epidemiology or Public Health, with a strong background quantitative methods, social epidemiology, clinical epidemiology, and statistics. Experience with R, SAS or Stata is required. Familiarity with oral health research is important but not required. Applicants with prior experience working with claims data and/or large datasets will be prioritized. Applicants are expected to be able to work collaboratively in an interdisciplinary environment and independently.

Please refer the Job description for details