A Ph.D in Bioinformatics/Computational Biology/Computer Science/Statistics/Physics/Biology or a related field is required along with experience in Linux, proficiency in at least one programming languages (e.g. Python, R, Perl, Java, C/C++, Matlab) and experiences with high- throughput sequencing data (WGS, WES, RNA-Seq, ChIP-Seq) analysis. The candidate must demonstrate effective verbal and written communication skills.
Our laboratory is interested in the integrative analysis of large-scale, multi-dimensional genomic data to understand the initiation and progression of diseases. The research projects involve in the development of highly accurate and sensitive computational methods for analyzing large-scale genomic data, especially in the area of detecting and analyzing genetic variations and somatic mutations. Example projects span from technique-driven research that aims developing algorithms for a wide range of applications (e.g. Yang et al., Bioinformatics 2010; Yang et al., BMC Genomics 2014; Yang et al., Genome Medicine 2015), to hypothesis-driven investigation of specific biological problems where the main goal is the discovery and advancement of biological knowledge (e.g. Asangani et al., Nature 2014; Henzler et al., Nature Communications 2016; Katerndahl et al., Nature Immunology 2017).
The Hormel Institute, a biomedical research center of the University of Minnesota, was established in 1942 and has an excellent reputation and long history for producing world-class medical research. The Institute’s research success has resulted in a second major expansion of its research facilities and includes an additional new state-of-the-art laboratory building that opened in January 2016. The Hormel Institute offers its research scientists complete access to state-of-the- art cutting edge equipment that includes a cryo-electron microscope (Titan Krios and Tecnai G2 Spirit Biotwin); FACS cell sorter; confocal microscopy; flow cytometry; protein crystallography robotics and defraction system; nano-HPLC-AB SCIEX triple TOF 5600 mass spectrometry; a Blue Gene/L and 3 racks of Linux GPU supercomputers for computational biology and bioinformatics; and spectrophotometers.
Send a cover letter, CV to Dr. Rendong Yang ( firstname.lastname@example.org )