This research opportunity will encompass one or more of the following areas: mass spectrometry data analysis, variability and statistical modeling, and/or proteome informatics. The Associate will work with and develop new software and algorithms for the analysis of mass spectrometry data. Applicants are expected to have some knowledge of mass spectrometry data and 2+ years’ experience programming in C/C++ and/or Perl. Knowledge of mass spectral libraries, MS data formats, and search engines would be a benefit.

 

References

Rudnick PA, et al: Molecular and Cellular Proteomics 9(2): 225, Feb 2010

Lam H, et al: Nature Methods 5(10): 873, Oct 2008, Epub Sep 21, 2008

 

Keywords:

Proteomics; Bioinformatics; Data analysis; MS/MS; Search engines; Mass spectrometry; Programming; Quality control; Library searching;

Citizenship:  Open to U.S. citizens

Level:  Open to Postdoctoral applicants