UConn Health is engaged in a major expansion of its research programs in computational biology, bioinformatics, and systems biology, as part of several transformative state initiatives. The Bioscience Connecticut initiative, totaling approximately $1 billion, includes the establishment of the new Center for Quantitative Medicine in 2013.
The Center for Quantitative Medicine is recruiting several postdoctoral fellows to pursue research in bioinformatics and computational systems biology with a particular focus on algorithm development and computational modeling of cellular processes, as well as applications of quantitative methods to biomedicine. Positions are available in the Laubenbacher, Mendes, and Vera-Licona research groups. The Laubenbacher group has ongoing projects in the development and implementation of algorithms related to modeling and simulation, with applications to cancer and infectious diseases related to iron metabolism. A particular focus is on immunological aspects of these and other diseases. Vera-Licona works on algorithm and software development for the modeling and simulation of biological systems. She is looking for a postdoc to work on the development of computational tools for identification of cascading failures and in silico combination therapies in complex biological networks. Mendes studies computational methods in systems biology, including development of simulation software, and is seeking a postdoctoral researcher to work on creating models of iron biochemistry, which is associated with several diseases such as cardiovascular, cancer, neurodegenerative, and many others. There are many collaborative activities between the three research groups.
The successful candidates will be expected to pursue research in the areas described above, with activities including interacting with experimental collaborators, setting up models, data analysis workflows, and other computational procedures, writing up and publishing results in peer-reviewed journals, presenting results at conferences and helping with developing new projects. The successful candidates will be individuals with background in mathematics, computer science, or physics with some knowledge of biology, or biologists with experience in developing computational/mathematical models. All of these positions will be pursuing interdisciplinary work at the boundaries of these disciplines.
To apply, please send your CV, a brief statement of research interests, and contact information for three references to Kathy Black at email@example.com.