Job Description
General Description
The CUNY ISPH has a rapidly growing COVID and mental health research portfolio. We are recruiting for a data analyst who focuses on advanced epi methods and longitudinal data analysis. The research analyst will primarily collaborate on our COVID and mental health research portfolio under the supervision of Dr. Denis Nash. There will be opportunities to contribute to and advance future studies in development.
The position comes with a one year hire commitment, and further extension is dependent on funding availability and performance. This can be a remote position, and visa sponsorship is available as long as the applicant is currently in the United States.
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, COVID-19, 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.
Please apply through this posting with a cover letter and resume. If you have any questions, please contact cunyisph@sph.cuny.edu
Other Duties
- Rapidly lead analyses, draft, and publish papers in peer-reviewed journals
- Review the work of other analysts, advising on statistical methods and protocol where necessary
- Support analyses and manuscripts being led by other members of the investigative teams
- Contribute to future grant applications and funded projects, as applicable and interested
Qualifications
- MPH in epidemiology, with a preferred focus on infectious diseases or mental health and epidemiological and biostatistical methods
- 2-3 years experience in an epi analyst position
- 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)
- Ability to efficiently prioritize and execute projects independently and efficiently
- Excellent written and verbal communicator
- Team player
RFCUNY Benefits
RFCUNY Employee Benefits and AccrualsAbout the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges.
RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs.
Equal Employment Opportunity Statement
Key Features
CUNY ISPH
Full Time
Depends on Qualifications
Dec 13, 2022 (Or Until Filled)