University of Michigan Biostatistics · 1 month ago
Postdoctoral Research Fellow in Biostatistics
Ann Arbor, MI
Full-time
Onsite
New Grad, Entry LevelThe University of Michigan Biostatistics Department invites applications for a postdoctoral fellow position focused on statistics, data science, and AI. The role involves developing and applying statistical and computational methods for biomedical research, particularly in collaboration with the Rogel Cancer Center.
Government Administration
Responsibilities
You will work with Dr. Baladandayuthapani and his research group in developing statistical and computational methods for large-scale, high-dimensional, complex-structured biomedical data
The research topics include, but not limited to, computational approaches such as AI and machine learning; methodological foundations and computational approaches for AI for biomedicine, Bayesian inference, cancer imaging, digital pathology, spatial biomodeling, systems biology and other high-throughput data sources
The postdoctoral fellow is expected to develop statistical methods and apply them to real-world studies, write manuscripts in peer-reviewed journals, disseminate research findings at professional conferences, and collaborate with biomedical researchers
There will be opportunities to mentor PhD students on the research team
Qualification
Required
PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field by the time of the appointment
Strong methodological and computational skills
Demonstrated interest or experience in health-related applications of statistical, data science and AI-based methods
Strong written and oral communication skills
Ability to work collaboratively with interdisciplinary teams
Benefits
Competitive salaries
Computing resources
Travel support
Comprehensive benefits package
Company
University of Michigan Biostatistics
Recently named the No. 1 graduate program in Biostatistics nationwide among public institutions and No. 3 overall by the U.S. News & World Report.
Founded in 1949
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase