Mental Health Data Manager/Data Analyst, CUNY Institute for Implementation Science in Population Health
Category : Alumni
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 sponsorship is available as long as the applicant is currently in the United States.
Job Duties
- Oversee and create data management systems
- 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
Required
- 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
Annual salary range: $70,000-80,000
Interested candidates should apply with a cover letter and resume.
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.
