Staff Associate II

Association for Public Policy Analysis and Management fall conference.; New York (NY); On-site; USD 60,000 - 73,000; Full time

Job summary

Columbia University in New York is seeking a Staff Associate II with expertise in behavioral sciences and quantitative methods. The role focuses on predicting human behavior in public emergencies, using data from surveys, mobility, and advanced modelling to inform policy decisions.

The candidate will develop interactive dashboards (Shiny/Tableau), perform statistical analyses, and collaborate with PIs to advance NIH-funded research in health policy and management.

Qualifications

• Bachelor’s degree in psychology, economics, or other behavioral science.
• 4 years recommended training in quantitative analysis and behavioral theory.
• Exceptional statistical skills applicable to behavioral science and public policy.
• Strong data visualization skills with interactive dashboards for analysis and project management.

Responsibilities

• Research activities including data management, analysis, and survey development.
• Other related duties assigned to support NIH and other grants.

Skills

Quantitative analysis

R

Python

Data visualization

Education

Bachelor's degree in psychology or economics

Tools

Shiny

Tableau

Job description

Salary: $66,744.00 - $66,744.00 Annually

Application Deadline: N/A

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.