A postdoctoral fellowship is available in the Department of Population Health’s Section on Health Choice, Policy and Evaluation (HCPE) in the lab of Brian Elbel, PhD, MPH. Dr. Elbel’s research uses health economics and policy to understand the role of the environment in shaping chronic conditions. A particular focus of the work is identifying the way social determinants create differences in health outcomes across race and socioeconomic status, particularly among children in New York City’s public school system. He has recently received funding for a major project examining how disruptions to children’s health, education and overall well-being during the COVID-19 pandemic created lasting effects on health, development and social trajectories through the lifecourse, and the risk for long-term health outcomes. It will identify how effects of the pandemic are unevenly distributed amongst children, particularly with respect to race/ethnicity and income, and how neighborhood and school characteristics mitigate and exacerbate sustained effects. The research leverages the NYC Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students, created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education through linking multiple administrative data sources.
The Fellow will collaborate with a multidisciplinary team of economists, epidemiologists, physicians, and public health officials to advance the aims of the project. There will be an opportunity to engage in all stages of research, from design through publication and dissemination. The Fellow will work independently to develop and execute complex analysis of data, including spearheading specific sub-projects and making decisions and recommendations about analytical techniques, scope, and approach. The Fellow will have ample opportunities to attend scientific meetings, present results at professional conferences as well as to interested city-level stakeholders, develop independent research projects, first-author research articles, and assist in developing grant applications.
- Participate in discussions to shape the direction of the research project with a stellar team of interdisciplinary scientists
- Maintain a thorough knowledge of advances in their specialized field and contribute creative ideas and approaches
- Work effectively with large, complex, and noisy administrative data to solve challenging problems
- Define scope and selection of advanced econometric and statistical techniques according to study design, including cohort analyses. time series, difference-in-differences and related techniques
- Clearly communicate processes used and results achieved to technical and non-technical audiences; lead critical discussions of results and techniques
- Detect and address complex issues in data and analytics, suggest new and alternative approaches to solve problems
- Draft articles for peer-reviewed publications, as well as reports and presentations to a range of audiences
- PhD in Economics, Public Policy, Statistics, Biostatistics, Public Health, Sociology or related quantitative research field.
- Advanced quantitative analytical skills and demonstrated experience running complex analyses.
- Proficiency in at least one programming language.
- Solid experience working with large data to answer complex questions.
- Excellent written and oral communication skills.
- Strong ability to identify, analyze and solve problems.
- Self-directed and able to manage priorities on multiple projects simultaneously.
How to Apply:
Interested candidates should send a CV, a cover letter explaining their research experience and their interest in this position, and contact information for three references to Courtney.Abrams@nyulangone.org. Fellowship begins in Summer/Fall 2022.