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.
The ideal start date is August 1 or sooner with a one year hire commitment. Further extension is dependent on funding availability, performance and independent research aligned with the ISPH. In the first year, this can be a remote position, as long as the fellow is authorized to work in the United States.
- Quickly get up to speed on the study design and datasets being used in the Chasing COVID Cohort study
- Propose and execute new analyses using publicly available COVID data
- Rapidly conduct longitudinal analyses, draft, and publish papers in peer-reviewed journals using data from the Chasing COVID Cohort and other related datasets
- Collaborate on, contribute to and support analyses and manuscripts being led by other members of the Chasing COVID Cohort investigative team.
- Substantively contribute to other planned studies, future grant applications, and funded projects, focusing on advanced epi methods
- 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
Interested candidates should apply with a cover letter and resume. Salary is competitive and commensurate with title and experience.