The candidate is responsible for analyzing and mining multi-omics data using computational techniques, such as deep learning, generalized linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics data will include longitudinal metagenomics sequencing data, genome-wide association (GWAS) data, proteomics data, and metabolomics data. The candidate is expected to publish their findings in peer-reviewed journals.

Required Education: Ph.D.

Skills: Bioinformatics, deep learning, data science, -omics,

Departmental Preferences: Computer Science

Required Attachments (resume, cover letter, etc.): cover letter and CV

Supervision: Dr. Chongle Pan ([email protected])

Salary: this will be based on the applicants’ experience.

Work Schedule (full time/part time/M-F 8-5): Full time

Application for position involves only submission of CV & a cover letter.