Population Health
Health Education and Promotion
Health Sciences
Public Health
Health Care Administration and Policy
Biomedical Informatics and Data Science
All students within the College of Health Solutions are encouraged to apply.
Health Education and Promotion
Health Sciences
Public Health
Health Care Administration and Policy
Biomedical Informatics and Data Science
All students within the College of Health Solutions are encouraged to apply.
-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)
-2nd Year Students
-3rd Year Students
-4th Year Students- Seniors
-ASU Online Barrett Honors Students (fully remote work)
195
Fully remote/Remote considered
We are seeking motivated undergraduate students to support data-driven health services research focused on health care access, utilization, and costs, comorbidities among people with chronic conditions, including substance use disorders, mental health challenges, and HIV. Ideal candidates are self-directed, detail-oriented, and interested in causal or applied quantitative research. Students should be comfortable working independently, taking initiative and direction, and committing approximately 10 hours per week.
What We’re Looking For
Experience with at least one data analysis or statistical software package
Interest in causal or quantitative health research
Ability to work independently in a self-paced research environment
Preferred Qualifications
Programming skills in R (preferred), SAS, SQL, Python, SPSS, or Stata
Experience with healthcare claims or encounter data
Data visualization experience (e.g., Tableau or similar tools)
Strong writing, communication, and organizational skills
What You’ll Gain
Hands-on experience with real-world healthcare data used in applied research
Exposure to causal research methods and health services research
Mentorship in data analysis, interpretation, and scientific communication
Opportunities to contribute to public health–focused research outputs (e.g., abstracts, posters, manuscripts, or reports)
Skill development relevant to graduate school, public health, data science, and healthcare careers
* You do not need to meet every preferred qualification to apply. We value curiosity, commitment, and willingness to learn. Many skills can be developed through mentorship and hands-on experience. Final selection will include an interview process and submission of prior work.
What We’re Looking For
Experience with at least one data analysis or statistical software package
Interest in causal or quantitative health research
Ability to work independently in a self-paced research environment
Preferred Qualifications
Programming skills in R (preferred), SAS, SQL, Python, SPSS, or Stata
Experience with healthcare claims or encounter data
Data visualization experience (e.g., Tableau or similar tools)
Strong writing, communication, and organizational skills
What You’ll Gain
Hands-on experience with real-world healthcare data used in applied research
Exposure to causal research methods and health services research
Mentorship in data analysis, interpretation, and scientific communication
Opportunities to contribute to public health–focused research outputs (e.g., abstracts, posters, manuscripts, or reports)
Skill development relevant to graduate school, public health, data science, and healthcare careers
* You do not need to meet every preferred qualification to apply. We value curiosity, commitment, and willingness to learn. Many skills can be developed through mentorship and hands-on experience. Final selection will include an interview process and submission of prior work.
Basic data cleaning and preparation
Working with structured data sets
Running descriptive analyses
Creating tables and figures for reporting
Experience with at least one statistical or data analysis tool (R preferred; SAS, Python, SQL, or SPSS)
Understanding of basic research concepts
Willingness to learn, take initiative, and problem-solve
Working with structured data sets
Running descriptive analyses
Creating tables and figures for reporting
Experience with at least one statistical or data analysis tool (R preferred; SAS, Python, SQL, or SPSS)
Understanding of basic research concepts
Willingness to learn, take initiative, and problem-solve
Tiffany Lemon
Fully remote