Develop analytical plans and conduct statistical analyses using SAS, R and other software as needed. Analyses may include but are not limited to linear and logistic regression, survival analysis, mixed models, propensity score methods, and more advanced analysis techniques.
Create tables, figures, and graphs for presentation and publication. Contribute to the analysis sections of grants and papers.
Conduct power analyses and other analyses needed in relation to grant preparation.
Assist in coordination for the maintenance, updating, and compilation of a variety of complex linked databases, including longitudinal databases. Create new derived variables, run checks on existing data.
Assist with creation and maintenance of documentation for databases, including detailed descriptions of contents and created variables.
Advise other data analysts working on the projects and provide programming and data analysis support for graduate students. Interact with investigators, data managers, students, and other analysts.
Bachelor's degree in a recognized field of science which is directly related to the duties of the position. Experience as a data manager or data analyst in health or related areas (including the quantitative social sciences).Substantial experience with statistical software (SAS, R or Stata) and with the management of large datasets required. Must be extremely attentive to detail, responsive, very well-organized, able to multitask, and work in a team. Opportunities to participate as coauthor on manuscripts and acquire additional job related training.
Master's degree in Statistics or Biostatistics preferred
This position provides the opportunity to become part of a large, interdisciplinary research project in the general area of stroke epidemiology and health disparities. Ample opportunities for career advancement including co authoring or leading papers and acquiring additional training. Opportunities to work with a highly productive team of investigators and mentoring from a biostatistics faculty member. Ideal candidate must be dynamic, creative, flexible, and detail oriented with excellent problem solving skills.
We are seeking an experienced and dynamic staff (leader/member) with a commitment to contributing to a diverse, equitable and inclusive environment for all members of our community.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.