COVID Postdoctoral Fellow, CUNY Institute for Implementation Science in Population Health
Category : Alumni
The CUNY Institute for Implementation Science in Population Health is recruiting an epidemiology postdoctoral fellow to work on COVID-19, mental health, and vaccine research areas, topics that are part of a large portfolio of research on the impacts of the US COVID-19 pandemic and public health response. The fellow will join a large team of investigators and staff that run the national CHASING COVID Cohort(C3) Study, launched in late March 2020, and on a new, cohort-linked three year NIH grant to test the efficacy of an intervention designed to increase vaccination among adults with depression and anxiety. Furthermore, there will be opportunities for mentorship by senior epidemiologists and public health scholars, first authorship on publications, and contributions to studies in development. The fellow would be expected to: 1) quickly become familiar with the study design and datasets being used in the Chasing COVID Cohort study; 2) rapidly conduct longitudinal analyses, draft, and publish papers, including first-authored papers, in peer-reviewed journals using data from the CHASING COVID Cohort and other related datasets; 3) lead, collaborate on, and support analyses and manuscripts being led by other members of the CHASING COVID Cohort investigative team; and 4) contribute to grant applications, as applicable and interested.
Stipend and time period: Post-doctoral fellow stipends range from $60,000-$85,000, depending on the number of years of post-PhD experience. With an expected hire date of Summer 2023, the 12-month position comes with a one year hire commitment, and further extension, depending on funding availability and performance. This can be a remote position, and visa sponsorship is available as long as the applicant currently resides in the United States. Interested candidates should apply with a cover letter and resume.
Minimum qualifications
- PhD in epidemiology, with a preferred focus on infectious diseases or mental health 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
- Willingness to mentor epidemiology masters and doctoral students on analysis of CHASING COVID Cohort Study data
The CHASING COVID Cohort Study
For more about the C3 cohort, and to assess where applicants may be able to make contributions to future research, the following resources may be helpful:
- Robertson MM, Kulkarni SG, Rane M, et al. Cohort profile: a national, community-based prospective cohort study of SARS-CoV-2 pandemic outcomes in the USA-the CHASING COVID Cohort study. BMJ Open 2021;11(9):e048778.
- Press release covering the awarding of an NIH research grant to the CHASING COVID Cohort Study team to test an intervention aimed at improving COVID-19 vaccine uptake among people with anxiety or depression.
- The CHASING COVID Cohort Study website, with links to recent papers and PDFs of all questionnaires.
- The CHASING COVID COHORT Study team.
- The CHASING COVID Cohort public use dataset: https://zenodo.org/record/6127735#.Y9B24i-B0uT
The CUNY Graduate School of Public Health and Health Policy
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)
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.
For more information and to apply, please click here.
