Department Overview

The Data Analyst provides high-level professional analytic support in research activities at the Division of General Internal Medicine and Geriatrics.

Function/Duties of Position

• Conduct data management and analysis as directed by investigators in the Division of General Internal Medicine and Geriatrics and Section of Addiction Medicine.
• Present to and work closely with health services, policy, and translational researchers and healthcare providers.
• Interpret and prepare results for reporting using statistical, graphical, or other relevant methods.
• Actively contribute to the review of working practices and the development of data analysis and management SOPs
• Work closely with interdisciplinary investigators to present/publish research findings.
• Provide technical support and training to other analysts and investigators.

Required Qualifications

• Master's degree with major courses in relative field (Statistics/Biostatistics/Economics/Health Services Research, Data Science); OR
• Bachelor's degree with major courses in field of research (economic/quantitative sciences) and 2 years of relevant experience.
• Working knowledge of statistical theory and hypothesis testing, quantitative analysis methods and database management techniques.
• Working knowledge of public health, health economics, or issues relevant to health services research and health program/policy evaluation.
• Experience cleaning, working with, and maintaining large data sets using any combination of R, SAS, SQL, Stata.
• Ability to exercise sound judgment in making decisions, and maintain thorough documentation of the decision-making process.
• Exemplary communication skills and ability to effectively present research findings to diverse audiences within and outside OHSU and academia.
• Strong commitment to rigorous research methods, accuracy of findings, and reproducibility of results.

Preferred Qualifications

• Master's degree with major courses in relative field (Statistics/Biostatistics/Economics/Health Services Research, Data Science)
• Exposure to difference-in-differences modeling, matching techniques, and other econometric methods
• Demonstrated experience in claims or large dataset management and analysis, such as Medicare, Medicaid, and private insurance data.
• Database management experience.
• Experience working in a Windows Server environment.
• Experience working in Linux/Unix environment.
• Content knowledge of health services research.

All are welcome