BACKGROUND

The Physical Biosciences Division of LBNL has an immediate opportunity to be a part of the Department of Energy (DOE) Genomics: GTL (GTL) project. The GTL research program focuses on developing technologies to understand and use the diverse capabilities of plants and microbes for innovative solutions to the DOE energy and environmental mission challenges. The postdoc fellow will conduct computational (bioinformatics) studies aimed at assembling and analyzing the protein interaction network, particularly conserved molecular machines, in microbial organisms. Learn more about the GTL program at http://pbd.lbl.gov/gtl.

Lawrence Berkeley National Laboratory is a world leader in science and engineering research, with 11 Nobel Prize recipients, and 59 present members of the National Academy of Sciences. LBNL conducts unclassified research across a wide range of scientific disciplines and hosts four national user facilities. LBNL is an Affirmative Action/Equal Opportunity Employer committed to the development of a diverse workforce. http://www.lbl.gov

RESPONSIBILITIES

• Apply methods of computational biology to the analysis of microbial protein-protein interactions
• Develop computational methods for analysis of protein interaction networks in microbes, including the following:
o Complex identification by graphical clique finding
o Integration of multiple experimental data types
o Identification of conserved complexes among microbes
o Macromolecular recognition and interactions (docking)
o Analysis of cellular pathways and networks

REQUIREMENTS

• Recent Ph.D. in Molecular Biology, Chemistry, Physics, Biophysics, Computer Science, Engineering, or related discipline
• Programming experience in C, C++, Java, Perl and/or Python
• Working knowledge of macromolecular structure and functional relationship
• Strong verbal and written communication skills
• Demonstrated ability to conduct independent research as evidenced by publications in scientific journals
• Ability to work efficiently as a team member and synthesize data from multiple research groups

PREFERENCES

• Demonstrated background in computational biology
• Background in machine learning and graph

LOCALE: Berkeley, CA - U.S.A

HOW TO APPLY

http://jobs.lbl.gov/LBNLCareers/details.asp?jid=21129&p=1

DEADLINE: Open until filled