Seeking a talented and highly motivated Bioinformatics Research Scientist to develop, optimize, and implement data analysis pipelines and analytical tools that enable comprehensive tumor genomic profiling for cancer biology research and clinical applications.
Primary Responsibilities and Duties: • Process, analyze and interpret high volumes of data as part of collaborative research projects. Develop automated methods and software to support large-scale bioinformatics analysis Develop and implement analytical tools capable of troubleshooting the technical steps. • Benchmark performance characteristics of published and emerging analytical pipelines and mutation detection algorithms • Monitor and evaluate analytical avenues for new/emerging bioinformatics, genomics and sequencing technologies • Work independently and prepare timetables, deliverables, and project schedules
Required Skills and Experience: • Fluency in programming and scripting languages is required (Python, R, Perl, Matlab, C++, Java) • Experience in developing algorithms for analysis of biological data. Experience in algorithm development for analysis of massively parallel sequencing data (DNA-seq, RNA-seq) is highly desirable. • A track record of achievement in the academic setting • Strong scientific understanding of molecular biology and genomics • Excellent teamwork, time management and organizational skills
Required Education: • Master or Ph.D. in Bioinformatics, Computational Biology, Computer Science or related fields
Desired Skills and Experience: • Experience in cancer research, including a working understanding of computation approaches for cancer genome analysis, is highly desirable
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.