Postdoctoral Scholar - Public Health Sciences

Postdoctoral Scholar of Machine Learning and Statistical Genomics

The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu, is expected to work on at least one of these objectives.

Requirements:

• A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required.
• Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep learning, bioinformatics methods in
  -omics data are preferred.
• Demonstrated evidence of excellent programming, collaboration, and communication skills.

Responsibilities:

As a Postdoctoral Scholar, they will be involved in:

• reviewing literature,
• designing and implementing methods,
• analyzing data, summarizing study results, and
• drafting manuscripts.

They will work closely with our team to publish research findings in high-impact journals and present at scientific conferences.