Devote a majority of their time/efforts toward scholarly research, but will also be expected to provide some classroom education to medical and graduate students. Additionally, service to the College, University, and Profession is an expectation of all faculty members.
Collaborate closely with other investigators at the center and throughout the institution on analyzing NGS and omics datasets.
Develop and maintain institutional biocomputing infrastructure.
Apply and create programs, tools and scripts for large-scale data mining of the genomic, genetic, and transcriptomics and proteomics databases.
Required Education & Experience:
Terminal degree (e.g., Ph.D. or Sc. D.) in bioinformatics, biostatistics, biological sciences, computational sciences, applied mathematics, or related fields required.
A minimum of 3 years relevant experience applying computational approaches to multi-dimensional multi-omics datasets (transcriptomics, genomics, and proteomics) to derive insights and hypotheses about biological and disease pathways and processes.
Demonstrated experience with existing bioinformatics-specific software tools, pipelines and genomics research, machine learning, and visualization, particularly with data mining of genome-wide, single-cell, single-nucleus, and spatial sequencing data analyses.
Experience Required: Terminal degree (e.g., Ph.D. or Sc. D.) and minimum 3 years experience applying computational approaches to multi-dimensional multi-omics datasets