Postdoctoral Positions in Computational Proteomics/Genomics

The Biological Network Modeling Group at the Wake Forest University and Wake Forest University School of Medicine is seeking qualified computational biologists for two postdoctoral positions conducting research in the development of statistical analysis, clustering and computational algebra tools to map time course proteomics and genomics data. Experimental data come from several areas, all involving molecular signaling: flavonoid signaling in plants; redox signaling in osteoarthritis, and radiation effects in head and neck cancers.

The ideal candidate will have a strong computational background in the life sciences, experience with Cytoscape and programming in Matlab and/or Perl and/or Python, and familiar with analysis of datasets obtained from genomics and proteomics studies. The ideal candidate will also be strongly motivated towards interdisciplinary research and will be able to work independently. Knowledge of cellular signaling will be a plus, but outstanding applicants who are new to the field will also be considered. Excellent communication and writing skills are essential.

The Biological Network Modeling group consists of faculty and research fellows from Biochemistry, Physics, Mathematics, Immunology/Microbiology, Biology, Computer Science, and Molecular Medicine Departments. Our members have expertise in cell signaling, proteomics, computational modeling, redox biology, and biophysics. These positions offer a unique opportunity for a researcher to interact in a highly interdisciplinary environment and to receive extensive multidisciplinary training.

Applications should be submitted to Gloria Stickney (stickngd@wfu.edu). Applications should include statement of interests, curriculum vitae, and three letters of reference. Questions regarding the position should be directed to Jacquelyn Fetrow (fetrowjs@wfu.edu), Cristina Furdui (cfurdui@wfubmc.edu), Richard Loeser (rloeser@wfubmc.edu) or Gloria K. Muday (muday@wfu.edu).