AI & Biostatistics Postdoc Fellow | Remote/Flexible

Kappaalphapsi1911

Ann Arbor, Northern (MI, KY)

Hybrid

USD 60,000 - 90,000

Full time

14 days+
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Job summary

The University of Michigan School of Public Health invites applications for a postdoctoral fellow in biostatistics, data science, and AI. Work with Yi Li on novel statistical and computational methods for high-dimensional biomedical data and cancer research.

Opportunities to publish, teach, and collaborate across departments and with Harvard investigators. This one-year appointment with potential renewal up to three years offers competitive pay, comprehensive benefits, and access to computing

Qualifications

  • PhD in Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment.
  • Strong methodological and computational skills.
  • Demonstrated interest or experience in health-related applications of statistical, data science, machine-learning, or AI methods.
  • Strong written and oral communication skills.
  • Ability to work collaboratively in interdisciplinary research teams.

Responsibilities

  • Develop and apply novel statistical, machine-learning, and AI methods to biomedical data.
  • Collaborate with Yi Li's group and external investigators on real-world studies.
  • Prepare manuscripts and present findings; contribute to graduate teaching as appropriate.

Skills

Strong methodological skills
Strong computational skills
Interdisciplinary collaboration

Education

PhD in Biostatistics or related field

Tools

R
Python

Job description

The University of Michigan School of Public Health invites applications for a postdoctoral fellow in biostatistics, data science, and AI. Work with Yi Li on novel statistical and computational methods for high-dimensional biomedical data and cancer research.

Opportunities to publish, teach, and collaborate across departments and with Harvard investigators. This one-year appointment with potential renewal up to three years offers competitive pay, comprehensive benefits, and access to computing

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