Health Economics Research Assistant III

SDSU Research Foundation; San Diego (CA); Presencial; USD 39.000 - 41.000; Jornada completa

Descripción de la vacante

SDSU Research Foundation is seeking a research professional to evaluate Medi-Cal expansions with a focus on health economics, tax simulations, and policy impact analysis. You will work with the project PI and a multidisciplinary team in a rigorous academic setting.

The role emphasizes quantitative analyses of premiums, out-of-pocket costs, disposable income, and employment effects using large datasets and microsimulation tools.

Formación

• Strong quantitative research skills in health economics, health services research, public policy, economics, statistics, data science.
• Experience cleaning, managing, and analyzing large administrative or survey datasets.
• Proficiency in at least one statistical programming language (R, Python, Stata, SAS, SQL).
• Ability to develop reproducible code, analytic files, data dictionaries, tables, and figures.

Responsabilidades

• Conduct statistical and econometric analyses under faculty supervision.
• Prepare TAXSIM input files and summarize tax simulation outputs.
• Assist with economic impact analyses using IMPLAN or similar tools.
• Support data visualization and preparation of tables and figures for manuscripts and reports.
• Maintain research documentation and ensure data security and IRB compliance.

Conocimientos

Quantitative skills

Large datasets

Statistical programming (R/Python/SAS/

Educación

Bachelor’s degree in Public Health/Economics/Public Policy/Statistics/Data Science

Herramientas

TAXSIM

IMPLAN

ACS/CHIS data

Medi-Cal data

Descripción del empleo

SDSU Research Foundation is seeking a research professional to evaluate Medi-Cal expansions with a focus on health economics, tax simulations, and policy impact analysis. You will work with the project PI and a multidisciplinary team in a rigorous academic setting.

The role emphasizes quantitative analyses of premiums, out-of-pocket costs, disposable income, and employment effects using large datasets and microsimulation tools.