Data Analyst 3
About The Position
The Data Analyst III will conduct applied empirical research in health economics, health services research, and health policy alongside research-active faculty in the Department of Health Management and Policy at the University of Miami Business School. This full-time research support role is primarily quantitative and spans the research process, including developing research questions and identification strategies, cleaning and analyzing data, applying causal inference methods, producing tables and figures, and drafting manuscript sections for peer-reviewed journals and conference presentations. The position is dedicated to faculty-led projects and does not include protected time for independent research. Co-authorship opportunities are determined by the lead faculty member based on substantive intellectual contribution. The role is suited to master’s- or PhD-trained candidates seeking a sustained career in applied research as part of a faculty-led team; it is not a postdoctoral position. The position is based in person on the Coral Gables campus. The expected start is as soon as possible, ideally by December 2026 and no later than January 2027.
Requirements
- A master’s or doctorate degree in economics, public policy, health policy, health services research, or a closely related field, completed by the start date.
- Graduate coursework in econometrics and hands-on experience applying causal inference methods such as difference-in-differences, instrumental variables, or regression discontinuity.
- Strong proficiency in Stata (preferred) and/or R for econometric analysis.
- Demonstrated interest in academic research in health economics, health services research, health policy, or a related field, and prior experience producing research deliverables such as tables, figures, or manuscript sections.
- Strong critical thinking skills and willingness to problem-solve proactively and independently rather than wait for direction.
- Ability to manage multiple projects and meet deadlines with limited supervision.
- Excellent organizational, written, and oral communication skills, and strong attention to detail.
Nice To Haves
- Experience with Git/GitHub for version control and collaborative project management.
- Experience with LaTeX for academic writing.
- Familiarity with SQL, cloud computing, or text analysis.
- Interest in using AI-assisted programming tools (LLM-based coding agents) to augment and accelerate research projects.
- Familiarity with IRB processes and regulatory requirements for human subjects research.
Responsibilities
- Explore new datasets and propose potential research questions and identification strategies to faculty.
- Contribute to study design and protocol development, including discussions of causal identification strategies, data requirements, and advanced analytic approaches.
- Clean, manage, and analyze research datasets with limited direction while maintaining reproducible, well-documented code.
- Draft tables, figures, methods sections, and other components of manuscripts, conference abstracts, posters, and internal memos.
- Summarize data and preliminary findings for faculty and research teams.
- Conduct literature reviews to inform study design and manuscript framing.
- Communicate proactively and professionally with faculty and research teams, respond to correspondence in a timely manner, and escalate issues clearly.
- Serve as project coordinator for data contracts the department has entered into with public and private organizations.
- Prepare and maintain IRB protocols and related correspondence for projects involving primary data collection.
- Perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
