Data Analytics Lead for Health Services Research

6 days ago


Ann Arbor, Michigan, United States University Of Michigan (The Regents @ Ann Arbor) Full time

At the University of Michigan, we are seeking a highly skilled Data Analytics Lead to join our team in the Department of Cardiac Surgery. This is an excellent opportunity to contribute to advancing clinical and health services research and quality improvement.

About the Position

The ideal candidate will have a strong background in data analysis and experience working with large datasets using statistical software programs such as SAS, STATA, and R. A minimum of 5 years of experience analyzing and interpreting clinical and claims data is required, along with proficiency in generalized linear regression, survival analysis, multilevel modeling, and propensity score analyses.

Key Responsibilities
  • Develop and draft specific analysis plans, including statistical power and sample size calculations;
  • Write and edit programs to clean, manage, merge, and analyze datasets;
  • Extract, transform, and merge raw data from various data sources into usable forms and construct datasets according to specifications;
  • Perform statistical programming to summarize data and create reports and visual presentations;
  • Design, create, and implement programs and templates to collect, display, and analyze data for assigned projects and/or investigative team members;
Requirements
  • Bachelor's degree in a recognized field of science or learning directly related to the duties of the position;
  • Demonstrated ability to work independently in a detail-oriented fashion and cooperatively;
  • Demonstrated ability to manage multiple projects at the same time;
  • Knowledge and working experience in generalized linear regression, survival analysis, multilevel modeling, and propensity score analyses;
  • Demonstrated ability to draft statistical tests in accordance with project design, solve analytic problems, and develop instruments and related analysis plans;
  • Demonstrated excellent written and oral communication skills;
  • Demonstrated proficiency working with large datasets using statistical software programs (SAS preferred, but STATA and R are also acceptable).
Compensation and Benefits

We offer a competitive salary range of $80,000 - $110,000 per year, depending on experience, plus benefits that include medical, dental, and vision insurance, retirement savings plan, paid time off, and professional development opportunities.

This is a full-time position with a flexible work schedule and the option to work remotely. We are committed to creating a diverse and inclusive environment and encourage applicants from underrepresented groups to apply.



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