Responsibilities: •Bioinformatics pipeline development •Metagenomics sequence analysis •De novo and reference based genome assembly •Review results for quality and accuracy •Generate phylogenetic analysis •Test and compare new software packages •Implement improvements in existing pipelines •Data management in UNIX/Linux environment •Mentor undergraduate/graduate students •Training of collaborators on bioinformatics pipeline •Participate in design of collaborative research projects focused on virome and microbiome studies •Attend, participate, or present at laboratory meetings, seminars, and conferences as needed •To collaborate with the PI in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports including preparation of presentations and lectures, and publishing manuscripts in scientific journals •To perform miscellaneous laboratory duties as assigned by the PI including, but not limited to, help the PI in the organization and coordination of meetings and research projects.
Required Qualifications: Position requires PhD in bioinformatics or a related field. Demonstrated proficiency with programming and query languages including Python, R, SQL. Demonstrated proficiency in machine learning frameworks including SciKit, TensorFlow, and PyTorch and open to learning new machine learning and deep learning methodologies. Demonstrated proficiency in workflow management and containerization tools like nextflow, WDL, Docker, singularity and podman. Experience in handling and analyzing data sets from high-throughput platforms such as Skills needed are motivation, ability to manage time and meet deadlines, strong communication skills, strong organizational skills, reliability and accountability.
Preferred Qualifications: Experience with bioinformatics workflow development and deployment for metagenomics and virome analsis. Research background in genomics, genetics, molecular biology, or computational biology. Bioinformatics knowledge regarding analysis of next-generation sequencing data (Illumina and/or Nanopore/PacBio).
Internal Number: 339331
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.