Job: Covid Postdoctoral fellow, Research Foundation of The City University of New , New York, NY



General Information


Job title:
Covid Postdoctoral fellow
Job location:
New York, NY 10027 United States

Requisition code:
Date posted:
28/07/2020
Job type:
Compensation:

Career path:

Scientific Discipline:

Job Description


The mission of The CUNY Graduate School of Public Health and Health Policy is to provide a collaborative and accessible environment for excellence in education, research, and service in public health, to promote and sustain healthier populations in New York City and around the world, and to shape policy and practice in public health for all.


The CUNY Institute for Implementation Science in Population Health (ISPH) was founded on the notion that substantial improvements in population health can be efficiently achieved through better implementation of existing strategies, policies, and interventions across multiple sectors. With that in mind, we study how to translate and scale-up evidence-based interventions and policies within clinical and community settings in order to improve population health and reduce health disparities. The ISPH leads cutting-edge research across a range of topics, including health disparities, HIV, substance use, and mental health. We utilize innovative methods, including large online national cohorts, discrete choice experiments, quasi-experimental methods, visualization dashboards, and cluster RCT / hybrid trials.


The CUNY ISPH has a rapidly growing COVID-19 research portfolio, and is recruiting for a postdoctoral fellow, whose work will be focused on the impacts of US COVID-19 pandemic and public health response. The initial focus of the fellow will be on analyses and manuscripts based on the recently funded national CHASING COVID Cohort, launched in late March 2020. There will be opportunities to contribute to and advance future studies in development.

Job Requirements


• PhD in epidemiology, with a preferred focus on infectious diseases and epidemiological and biostatistical methods
• Excellent data management and analysis skills
• Ability to efficiently prioritize and execute projects independently and efficiently
• Excellent track record of first authored peer-reviewed publications (as appropriate for level of experience)
• Excellent written and verbal communicator
• Team player
• Experience with longitudinal data analysis
• Ability to review and write code in SAS (fine to primarily code in R but the team uses SAS and you must be able to operate with SAS)
• Data visualization experience

(Job number: 3925316)