AI & Biostatistics Postdoc: Remote Data & Survival

Gamma Phi Omega International; Ann Arbor, Northern (MI, KY); Hybrid; USD 65,000 - 85,000; Full time

Job summary

The University of Michigan is hiring a postdoctoral fellow in the Department of Biostatistics to advance statistical, data science, and AI methods for biomedical and oncology research. The fellow will work under Dr.

Yi Li with collaborators at UM and Harvard and will benefit from NIH-funded projects and a vibrant research community. The role emphasizes developing novel methodologies for high-dimensional data, preparing manuscripts, presenting results, and potentially teaching graduate courses.

Qualifications

• PhD completed in biostatistics, statistics, mathematics, computer science, or a related quantitative field by start date.
• Demonstrated interest or experience in health-related applications of statistics, data science, ML, or AI.
• Strong written and oral communication skills and ability to work in interdisciplinary teams.

Responsibilities

• Develop statistical and computational methods for large-scale, high-dimensional biomedical data.
• Apply methods to biomedical and oncology research with Dr. Yi Li and collaborators.
• Prepare manuscripts for peer-reviewed journals and present findings at seminars.
• Contribute to graduate teaching activities when appropriate.

Skills

Methodological skills

Computational skills

Written and oral communication

Collaborative teamwork

Health data experience

Education

PhD in Biostatistics, Statistics, Mathematics, Computer Science, or related quantitative field

Job description

The University of Michigan is hiring a postdoctoral fellow in the Department of Biostatistics to advance statistical, data science, and AI methods for biomedical and oncology research. The fellow will work under Dr.

Yi Li with collaborators at UM and Harvard and will benefit from NIH-funded projects and a vibrant research community. The role emphasizes developing novel methodologies for high-dimensional data, preparing manuscripts, presenting results, and potentially teaching graduate courses.