Research Assistant III

Responsibilities

• Conducting Research
  • Cleaning, managing, and analyzing large administrative and survey datasets (e.g., CHIS, ACS PUMS, Medi-Cal claims)
  • Conducting statistical and econometric analyses under faculty supervision
  • Preparing and processing TAXSIM input files and summarizing tax simulation outputs
  • Assisting with economic impact analyses using IMPLAN or similar input-output modeling tools
  • Helping prepare model inputs, conducting quality checks, and documenting data processing and analytical procedures
  • Performing literature reviews and summarizing relevant research findings
  • Supporting data visualization, preparation of tables and figures, and preliminary interpretation of results
  • Maintaining research documentation and complying with data security and IRB requirements
• Research Dissemination
  • Aiding in the preparation of tables, figures, and supporting materials for manuscripts, policy reports, and presentations
  • Contributing to literature reviews and background sections of research papers
  • Helping prepare presentation materials for conferences, seminars, and stakeholder meetings
  • Aiding in editing and formatting manuscripts and reports
• Professional Development
  • Participating in seminars, workshops, and training related to health economics, health policy, and applied econometrics
  • Meting regularly with faculty mentors to discuss research progress and develop analytical skills
  • Engaging with interdisciplinary research teams and collaborative meetings
• Other Duties as Assigned
  • Performing other research-related tasks that support the objectives of the project

Qualifications

• Strong quantitative research skills in health economics, health services research, public policy, public health, economics, statistics, data science, or a related field
• Experience cleaning, managing, and analyzing large administrative or survey datasets
• Proficiency in at least one statistical programming language, such as R, Python, Stata, SAS, or SQL
• Familiarity with policy evaluation methods, including quasi-experimental designs, regression analysis, survey-weighted analysis, or microsimulation
• Ability to support analyses related to health insurance coverage, healthcare spending, premiums, out-of-pocket costs, tax payments, disposable income, and employment outcomes
• Strong attention to detail and ability to check data, code, assumptions, and model outputs carefully
• Ability to summarize technical findings clearly for manuscripts, reports, policy briefs, and presentations
• Understanding of research ethics, confidentiality, data security, IRB requirements, and data-use agreements
• Ability to manage multiple projects and deadlines
• Ability to work independently while communicating regularly with faculty, research staff, and policy partners
• Flexibility in adjusting research direction as needed