NYU Langone is one of the nation's premier academic medical centers that includes five hospitals (Tisch Hospital, Rusk Rehabilitation, Hospital for Joint Diseases, Hassenfeld Children's Hospital of New York, and NYU Lutheran Medical Center) and more than 200 ambulatory locations across the New York metropolitan area. It also includes NYU School of Medicine, which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history. Our trifold mission to serve, teach, and discover is achieved daily through an integrated academic culture devoted to excellence in patient care, education, and research. Learn more about NYU Langone.
We have an exciting opportunity to join our team as a Senior Data Analyst.
The NYU School of Medicine Department of Population Health, in partnership with the NYU Lutheran Family Health Centers, is building a Brooklyn-based Urban Health Innovations Lab (UHIL) that will identify, prioritize and test promising strategies for improving population health. A core component of the UHIL is a Data Station that will serve as a resource for community, clinical and research partners.
The Senior Data Analyst will bring data analytic skill, together with passion and vision, to create and oversee an innovative Data Station that will allow the UHIL to:
- Visualize and map health-related needs and resources
- Prioritize and target programs to affected populations
- Tailor interventions to address the varying contexts in which people live, work, learn, and play
- Engage community members, including youth, in micro-level mapping of local health-related resources;
- Work with colleagues to develop innovative population health surveillance methods and novel metrics to measure population health and well-being; and
- Help develop and assess the impact of innovations on population health
- Work directly with clinicians, managers, community partners and researchers to provide data management and analytic support to help shape and evaluate innovative projects
- Maintain, update, and utilize databases on the sociodemographic composition of the Brooklyn population, area health outcomes, social and economic factors, physical environment characteristics and neighborhood assets, integrating data from multiple sources, including electronic health records, published literature, surveys, censuses, administrative records, vital registration systems, and disease registries
- Archive, catalog, and annotate datasets to build a common library of materials for use by clinicians, community partners and researchers
- Use data resources effectively and creatively to support the implementation, documentation and evaluation of projects and innovations
- Execute queries on databases to respond to the needs of partners and external requests from collaborators, media, policymakers, donors, and other stakeholders
- To qualify you must have a Masters degree in public health, social sciences, sciences, mathematics/statistics, engineering, computer science or related field plus three years related experience, or equivalent combination of education and experience;
- Familiarity with electronic health record and administrative databases;
- Interest and skill in working with diverse stakeholders;
- Demonstrated success in developing code and analyzing data using advanced analytical methods in SAS, R, Python, Stata or other coding language;
- Experience using data visualization and/or mapping software;
- Demonstrated facility with analytic tasks and ability to participate productively in interdisciplinary research teams;
- Strong quantitative aptitude, desire to learn new skills, and ability to interpret complex analytic quantitative information;
- Strong sense of focus and attention to detail;
- Interest in urban health research; and
- Demonstrated organizational and communications skills, flexibility, and the ability to thrive in a creative, entrepreneurial environment.
- Doctoral degree strongly preferred
- Substantive knowledge of the field of population health and understanding of social determinants of health outcomes
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Langone provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
NYU Langone Medical Center is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Langone Medical Center's EEO policies, please click here. Please click here to view the Federal 'EEO is the law' poster or visit http://www1.eeoc.gov/employers/poster.cfm for more information.