Description
Research Highlights: Integrative Analysis of Multi-scale Sequencing Data towards better Understanding of Infectious Diseases, Host and Microbiome, and Control of Drug Resistance.
* Unique expertise in third generation sequencing (single molecule real-time) that can detect nearly twenty different types of DNA modifications and discover novel types
* Integration with 2nd-gen sequencing for functional/comparative epigenomics/genomics, transcriptomics, metabolomics
* Pathogen-host interactions in infectious and genetic (specifically mitochondrial) diseases
A postdoctoral research fellowship position is available at the Mount Sinai School of Medicine in New York City. Our lab is in the department of Genetics and Genomic Sciences and the Institute for Genomics and Multi-scale Biology, one of the top institute on computational biology in the nation. Our research emphasizes the biological and clinical impacts in the design of effective computational and statistical models. Successful candidates will have unique opportunities to take the lead roles in the use of single molecule real-time sequencing to better understand infectious diseases (bacteria, virus, fungi, parasites), mitochondrial diseases (neurodegenerative diseases and cancers) and drug resistance. Compensations for successful postdoc fellows are highly competitive.
Recent publications on these topics include:
* PLoS Genetics, 2013
* PLoS Computational Biology, 2013
* Nature Biotechnology, 2012
* Genome Research, 2012
Here are some of the specific questions that we are trying to answer in ongoing projects:
* How does DNA chemical modifications contribute to pathogen virulence, drug resistance and interaction with host and microbime?
* Are there methylations in mitochondrial DNA or just damages? Where are they? What are their functional roles in neurodegenerative diseases and cancers?
* How do genomic variations and epigenomic variations interact with each other in molecular and cellular regulation?
Interested? Excited? Join us to reveal the cool biology! Candidates with PhD in computational biology, bioinformatics, computer science, or statistics with experience on analyzing biological and medical data are encouraged to apply. Solid computer programming, statistical, data mining, machine learning skills are desirable. Please send the following to gang.fang@mssm.edu
1) CV with a list of publications
2) A brief description of your previous research experience, best including any of the following three topics: sequencing data, GWAS or microbiome.
3) PDF files for the papers that involve computational and statistical data analyses, in which you are first or co-first author.
*Lab page with details*:http://research.mssm.edu/fanglab
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