Description: The Lillehei Heart Institute is a premier institute at the University of Minnesota-Minneapolis with state of the art technologies and core facilities focused on the molecular regulation of myogenesis, stem cell and regenerative biology. We are accepting applications for highly motivated computational biologists or postdoctoral fellows to develop novel bioinformatic and computational methods for understanding the dynamic gene regulations and lineage hierarchies during cardiac, endothelial and hematopoietic development.
Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional data integration and etc. * Perform routine bioinformatics analysis such as RNA-seq analysis, microRNA target prediction, transcription factor binding sites analysis, GSEA and etc. * Discuss with the laboratory members in bioinformatics analysis as needed. * Maintaining an active role in research of the current trends in bioinformatics, and using new technologies to prototype future development. * Help researchers prepare manuscripts (write relevant sections and make figures) and presentations.
Required Skills: * Strong programming skills in R. * Familiarity with data science and visualization libraries in R. * Proven ability to work independently and collaboratively. * Experience with communicating results and concepts with a diverse audience including molecular biologists and laboratory scientists. * Excellent oral and written communication skills.
Desired Skills: * Familiarity with common NGS analysis tools (BWA/samtools/HTSeq/edgeR/DESeq2). * Familiarity with tensorflow and keras. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment. * Excellent planning, organization and execution skills. * Positive attitude and good interpersonal skills. * Ability to prepare manuscripts for presentation and publication.
Required Experience: * Master's or equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least three years of experience in bioinformatics research. * Quantitative training with good understanding of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Experience using publicly available bioinformatics/genomics tools and algorithms; web resources such as NCBI, EnsEMBL, and UCSC.
Internal Number: 337136
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.