The purpose of this job is to participate in the Pfenning laboratory’s work on the Vertebrate Genomes Project (VGP). The VGP is an international consortium that is sequencing, assembling, and analyzing genomes across the vertebrate evolutionary tree. The scientist will be conducting mentored research to apply machine learning approaches to find genome sequence signals responsible for the evolution of cell type-specific gene regulatory programs. They will be applying that analysis to study the genetic basis of behavior and to engineer cell type-specific genetic tools.
The candidate should have completed a Ph.D. in bioinformatics or a related field.
The candidate is expected to have experience analyzing genomic data using machine learning methods.
Applications should be submitted through Interfolio Applicants should submit a curriculum vitae, describing past work and proposed future directions, a short cover letter and three letters of reference submitted directly by the referees.
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been working with the Department of Defense, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.
