Assistant Professor - Vertebrate Evolutionary Genomics

The Chronicle Of Higher Education, Inc.; Pullman (WA); On-site; USD 90,000 - 120,000; Full time

Job summary

Washington State University’s School of Biological Sciences in Pullman, WA invites applications for a permanent, full-time, 9-month tenure-track Assistant Professor position in Vertebrate Evolutionary Genomics.

The successful candidate will leverage modern genomic tools to study genome organization, gene regulation, and evolutionary processes, training students in bioinformatics, genomics, and analysis of large datasets.

Responsibilities

• Ideal candidates will apply integrative and innovative analytical approaches to inform the relationship between genome and phenome, other aspects of genome architecture, or between genomic variation and evolutionary processes such as hybridization, adaptation, introgression, or speciation.
• The successful candidate will contribute to training the next generation of biology students in skills such as bioinformatics, genomics, and the analysis of large datasets.

Job description

Overview

The School of Biological Sciences at Washington State University invites applications for a permanent, full-time, 9-month, tenure-track Assistant Professor position in Pullman, WA, with a specialty in Vertebrate Evolutionary Genomics. We seek to hire a creative and engaging scholar whose research leverages modern genomic tools to gain fundamental or applied insights into evolutionary processes. We seek candidates working on functional and/or evolutionary genomics in vertebrate systems, broadly defined. We are especially interested in candidates who link variation in genome organization and function to evolutionary outcomes by studying themes that include but are not limited to mutation, recombination, gene duplication and loss, structural variation (e.g., inversions, translocations, copy number variation), transposable elements, gene expression and regulatory evolution, and epigenetic modification.

Responsibilities and Qualifications

Ideal candidates will apply integrative and innovative analytical approaches to inform the relationship between genome and phenome, other aspects of genome architecture, or between genomic variation and evolutionary processes such as hybridization, adaptation, introgression, or speciation. The successful candidate will contribute to training the next generation of biology students in skills such as bioinformatics, genomics, and the analysis of large datasets.