Postdoctoral research associates in bioinformatics / computational biology / machine learning are sought in the group of Prof. Yang Shen in the Department of Electrical and Computer Engineering at Texas A&M University. The NIH-funded project involves algorithm development, application, and case studies for mechanistic understanding of disease-associated gene mutational effects on proteins and protein interactions, biomolecular pathways and networks, and various omics / phenotypes. Interested candidates please send a cover letter with research interests, curriculum vita, and a list of 3 reference contacts to yshen AT tamu.edu.
College Station is conveniently located in the middle of a triangle formed by 3 of the 10 largest cities in the United States: Houston (1.5-hour drive), Dallas, and San Antonio; and within 2-hour drive from Austin, the capital of Texas. The city is one of the fastest growing metro in US (2nd in 2009-13 and15th in 2015) and a frequent choice of the Forbes top 10 list of best small places for businesses and careers.
1. Ph.D. in bioinformatics, computer science, computational biology, computational chemistry, computational biophysics, applied mathematics, operations research, engineering, or other related fields;
2. Algorithm development experience in one or more following areas is highly preferred: optimization, machine learning, probabilistic graphical models, causal analysis, systems and control theory, data mining, statistics, or other related methods.
3. Experience and track record in at least one application area is preferred:
(1) Protein or other biomolecular modeling. Examples include sequence analysis, structure prediction, protein-protein or protein-ligand docking, conformational flexibility and search, normal modes, and molecular dynamics; OR
(2) Biomolecular network modeling. Examples include pathway analysis, graph-theoretic algorithms, differential equations, Boolean networks, and Petri nets; OR
(3) Biological data analysis. Examples include data integration and pattern recognition in genomic, proteomic, transcriptomic, phenomic, and other omic data, genotype-phenotype association, eQTL, and pQTL; OR
(4) Any other research experiences in machine learning or modeling or analyzing biological sequences, structures, systems and omics.
Linux programming experience in implementing algorithms (required) and databases & webservers (not required but a plus) in one or more following languages: C/C++, Python, shell scripting, R, Perl, SQL, XML, PHP, JavaScript, and Java.
Interested candidates please send a cover letter with research interests, curriculum vita, and a list of 3 reference contacts to yshen AT tamu.edu.