Staff Associate II

Position Description

The Department of Health Policy and Management at the Mailman School of Public Health is recruiting a full-time Staff Associate II with an exceptional background and skillset in behavioral sciences (ideally social psychology). This position is limited based on grant funding. The focus of the research is quantitative methods for predicting future human behavior and decision-making in major public emergencies, primarily focused on New York City.

Essential Functions

The Staff Associate II will be tasked with critical work on NIH (and potentially other) grants that will complex modelling of human behavior based on mathematical modeling, survey data, cell phone/foot traffic data, and LLM methods. The Staff Associate II must have excellent quantitative skills (R, Python) and general knowledge of data management in research contexts. A strong track record of exceptional and detailed interactive data dashboards for public and research management is absolutely necessary (ideally using Shiny and/or Tableau) – examples are required for the application submission. The candidate must have also completed policy training at graduate level, ideally as part of a master (or equivalent) program in behavioral, decision, or social sciences. The ideal candidate should be beginning a career in academic research.

Research activities (data management, analysis, writing, survey development, etc.). -95%

Other related duties assigned. - 5%

Columbia University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment and strongly encourages applications from women, minorities, individuals with disabilities, and veterans.

Qualifications

Bachelor’s degree in psychology, economics, or other behavioral science discipline and 4 years recommended component of training in quantitative analysis and behavioral theory (ideally linking topics such as economic policy, decision-making, and population well-being).

Exceptional statistical skills that apply directly to behavioral science and public policy.

Strong data visualization skills that apply directly to behavioral science and public policy, including independent development of interactive data dashboards for both analysis and research project management.

Ability to work independently but also within a collaboration. Must be able to write and analyze large datasets without the need for constant supervision, but also work on feedback and input from Principal Investigator.

Salary Range - $66,744 - $66,744

The link to apply for this position is: https://facultysearch.interfolio.com/10774/positions/194998