Postdoctoral Fellow- Computational biology, algorithms
Computational biology, algorithms, information theory
Postdoctoral researcher positions are available in the laboratory of S. Cenk Sahinalp at the Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH). We are broadly interested in combinatorial and statistical techniques for analyzing high throughput sequence data in the context of cancer. We are specifically interested in single cell genomics, intratumor heterogeneity and tumor evolution, resolving genomic sequence ambiguity, especially in the context of multi-copy genes are repetitive genomic regions, lncRNAs and their interactions, cancer networks and pathways, and algorithmic techniques for improved compression, mapping and secure/privacy preserving genomic analysis. The work involves both algorithmic development as well as collaborative basic science and clinical applications. The Sahinalp Lab is part of the CCR Cancer Data Science Laboratory, a new initiative dedicated to translational omics research and tightly integrated with massive national projects at NCI. As part of a large integrated collaborative branch, the candidates will have ample opportunity for training, collaboration, and mentorship. For more information, please visit our lab homepage.
Applicants should have a Ph.D. in computer science, discrete mathematics, operations research, computer engineering, electrical engineering, or bioinformatics/computational biology, with a strong background in one or more of the following: combinatorial algorithms, data structures, sketching and streaming algorithms, combinatorial optimization, statistical machine learning, information theory, parallel and distributed computing, cryptography and computer systems security - as well as interest and curiosity in computational problems in cancer biology.
HHS, NIH, and NCI are Equal Opportunity Employers