A postdoctoral position, as well as GRA positions in computational structural biology and bioinformatics are available beginning immediately. Our lab is engaged in various research projects related to multi-resolution docking and molecular modeling, scientific visualization and image-processing. We are primarily interested in algorithm- and software development, but follow a very problem-oriented approach and work in close collaboration with experimental labs from all over the world.

Location

The University of Texas Health Science Center at Houston (UTHSC-H) is a premier urban health research university of 4,690 faculty and staff serving 3,170 students, 594 residents, and 200 fellows. UTHSC-H is in the world-renowned Texas Medical Center (TMC) located in cosmopolitan Houston, Texas, the fourth largest city in the United States. UTHSC-H is part of the Gulf Coast Consortium (GCC) for Interdisciplinary Biosciences Research and Training composed of six institutions in the Gulf Coast Region, including UTHSC-H, Baylor College of Medicine, Rice University, University of Texas MD Anderson Cancer Center, University of Houston, and University of Texas Medical Branch at Galveston. GCC has an excellent track record in inter-institutional collaboration on research and training, with more than ten active training grants in informatics, computational biology, patient safety, large data set discovery, biodefense, and other areas.
As a member of our lab one has access to UTHSC-H facilities and resources, for example an immersive visualization system, high-end haptic devices, various cluster computer systems, and has access to the Texas Advanced Computing Center (TACC) super computer facilities.

Postdoctoral Researcher

Preference will be given to candidates with a strong background in computer science, physics or mathematics. Skills in molecular modeling, computational biology, but also in algorithm development and computer programming (C/C++ and Python) would be a big plus. Applicants should also have a strong interest in applied work and are expected to interact and develop projects together with experimental labs. Candidates with an experimental background for example in molecular biology, structural biology or biophysics are also encouraged to apply, but should have some previous experience in theoretical work and are expected to focus primarily on computational projects in the future. Candidates should have the ability to work independently and to mentor students and trainees.
Pay is based on the current NIH pay scale for post-doctoral fellows and is commensurate with the experience of the candidate. To apply please send a cover letter and your CV to stefan AT birmanns.us. Please attach 1-3 publications representing your past research experience. Please use the PDF file format for all documents.

Graduate Research Assistants

GRA positions are available immediately. Candidates with an under-graduate level training in computer-science or bioinformatics or a related discipline are being preferred. Programming skills in a compiled language (e.g. C/C++) and/or a scripting language (e.g. Python, Perl) would be desirable. The computer infrastructure of the lab relies on Linux, an interest in Unix would therefore be a plus. The GRA will work together with other students, postdocs and experimental labs on interdisciplinary projects from computational structural biology.

To apply, please send your CV (PDF format) to stefan AT birmanns.us

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