A post-doctoral fellow position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School, Ann Arbor (www.nesvilab.org). The fellow will work to develop computational tools for proteogenomics data analysis, including: algorithms for fast identification of peptides and peptide modifications using mass spectrometry data; tools and statistical models for detection of novel peptides; tools for processing and mining large collections of mass spectrometry and RNA-seq and exome data. The selected candidate will have a Ph. D. in bioinformatics, record of publications in the area of computational proteomics, significant practical experience with developing algorithms for mass spectrometry data, experience with RNA-seq data analysis, excellent programming skills (Java, relational databases, Linux, cloud computing).
Development of new algorithms and tools for mass spectrometry-based proteomics data
Development of computational methods for proteogenomics
Publication of manuscripts in peer review journals
Assist with data analysis as part of collaborative studies
- Significant previous experience with developing algorithms and software for mass spectrometry data
• Excellent programming skills (Java, Linux, SQL, cloud computing)
• Statistical analysis and data visualization using R
• Experience with RNA-Seq data analysis
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