Job description:
⢠The job is motivated by the need of data integration analysis of large-scale multi-omics data that have been generated in the lab, such as long read DNA-/RNA-sequencing, DNA methylation, biomedical image, etc. The goal is to utilize the complementary advantages of these data to understand the coordinated pathogenic regulatory pathway from different angles. 

Responsibilities:

50% - Conduct long read sequencing data analysis: 
⢠Implement Nanopore/Pacbio long read data analysis pipelines, including 
o Long read DNAseq pipelines: base calling, SNP/mutation calling, DNA methylation calling, etc.
o long read RNA-seq pipelines, alternative splicing calling, RNA modification calling, etc.
o long read metagenomic pipelines, microbiome genome assembly, taxonomic identification, etc.
⢠Perform integrative multi-omics data analysis, such as association study between DNA methylation/SNP and clinical variables, association between differentially expression alternative splicing calling and RNA modification, host and microbiome interaction, etc. 

50% - Reproduce/implement existing multi-omics data integration methods: 
⢠Install existing machine learning model/software for clinical and multi-omics phenotype prediction.
⢠Use transferring learning method to adapt pre-trained model parameters to our in-house multi-omics data.
⢠Maintain and update the software for the long-term usage in the lab.

Other duties as assigned.

All required qualifications must be documented on application materials.
Required Qualifications: 
⢠Bachelor's degree in a biological science or mathematics related field with two years of experience or a combined six years of education and research (e.g., applied statistics or bioinformatics).
⢠Proficiency in long read sequencing data analysis and machine learning.
⢠Pprogramming skill in Python and Linux bash.
⢠Detail-oriented and highly organized.

Preferred Qualifications:
⢠Knowledge of Nanopore/Pacbio long read sequencing bioinformatics data analysis.

About University of Minnesota Twin Cities

The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.

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