Ann Arbor, MI
Job posting number: #7193952
Posted: November 15, 2023
Application Deadline: Open Until Filled
The Department of Psychiatry at the University of Michigan is seeking a motivated and organized individual to join our growing multidisciplinary research team. The Data Analyst will work with investigators and other research team members to accurately and efficiently carry out a range of programming and analytic tasks for health services research, evaluation, and implementation projects. These projects use data from large public and private health systems and payers (e.g., Medicare, Veterans Health Administration) as well as longitudinal, complex survey data. The individual must be self-motivated and have a strong interest in programming and working with large datasets, as this position will entail extensive data management. Applicants graduating by May of 2024 are encouraged to apply.
Position specific responsibilities will include, but are not limited to:
Process and combine large data sources including claims, administrative data, complex surveys, and public data (e.g. Census data) for multidisciplinary mental health services research.
Employ appropriate data management techniques give the data structure and specific research and evaluation questions.
Under the supervision of project principal investigators and biostatisticians, execute simple analyses such as linear regression.
Attend regular meetings with project investigators to discuss progress and prepare presentations of study findings, including drafting methods and results sections of reports and papers as it relates to data processing/management.
All applicants must:
have a Bachelor's degree in Statistics, Public Health (Biostatistics, Epidemiology, or Health Services), Informatics, Social Sciences, or related field
have at least 1 year of experience.
be highly motivated, organized, and independent individual and excellent multi-tasking ability and record keeping.
be able to process and manage data and conduct simple statistical analysis using SAS, R, or Stata, and must be open to learning other programs
have demonstrated data management skills and experience preparing data for analysis.
have at least introductory knowledge of statistical theory and application, and a willingness to learn and apply new methods and approaches
have excellent technical writing skills for documenting database structure and content.
have excellent communication skills (both written and verbal), including the ability to independently prepare correspondence (e.g. email messages) and write/edit/produce reports.
The fully prepared candidate will have:
a Master's degree in Statistics, Public Health (Biostatistics, Epidemiology, or Health Services), Informatics, Social Sciences, or a related field.
previous experience processing and manipulating data in SAS.
previous experience with administrative and clinical claims data such as Medicare, Veterans Health Administration or other large health systems, or other large commercial claims databases.