Postdoctoral Research Associate - Yu lab

Description

The Yu lab within the School of Computer Science at Carnegie Mellon University is looking for a Postdoctoral Researcher to develop string algorithms and bioinformatics tools for analyzing biological sequence data. The Yu lab has been one of the pioneers in both developing rigorous mathematical theory to understand sequence transformations and in engineering software that turns that theory into usable bioinformatics software. Much of the lab’s recent applied work has been on tools for analyzing metagenomic datasets, though we are broadly interested in biological sequences from other sources as well (e.g. RNA-seq). The lab also has a standing side-interest in biomedical privacy and security, though this posting is aimed at string algorithms. Recent work from the lab has been published in journals such as Nature Biotechnology, Nature Methods, Genome Research, and Microbiome, as well as presented at conferences such as RECOMB, ISMB, and ECCB. Lab website: http://yunwilliamyu.net/

The new postdoc will lead new computational method development with an eye towards biological relevance. Expected deliverables include both polished, practically usable software, as well as rigorous theoretical analyses of the algorithms used.

Qualifications

• PhD degree in Computer Science, Computational Biology, Applied Mathematics, or other quantitative fields.

• A strong publication record in original method development for computational biology.

• Experience in analyzing microbial genomes is a plus but not required.

 

Application Instructions

All applicants should submit a CV with a list of publications, and the names and contact information of at least three references via Interfolio.

Equal Employment Opportunity Statement

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.