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. The candidate who will fill this position will develop novel bioinformatic and computational methods for understanding the dynamic gene regulations and lineage hierarchies during cardiac, endothelial and hematopoietic development. This position will be based on 100% research effort
Principle Duties & Responsibilities: • Build the bioinformatics program in the Daniel Garry lab • Experience supervising, training, mentoring, assigning work to students and/or research associates. • Knowledgeable and ensures compliance with polices and procedures for research • Participates in development of grant submissions. • 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 • 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. • Prepares, writes and presents papers for publication • Prepares, writes and submits grant proposals.
Required Skills: * Strong programming skills in Python (or Perl) and 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/TopHat/Cufflinks/HTSeq/edgeR/DESeq2). * 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. * Familiarity with parallel computing environment (MPI). * Ability to prepare manuscripts for presentation and publication.
Required Experience: * Ph.D. with 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: 332968
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.