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Opportunity: COMPUTATIONAL BIOLOGY Research Associate @ UT-Austin or UT-Southwestern--Texas (US)
Submitted by Matthew Vaughn; posted on Tuesday, May 29, 2012
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BACKGROUND
Do you have an advanced degree in biology, biochemistry, medicinal chemistry, or bioengineering? Are you interested and experienced in data-enabled life science research? We're hiring in the Life Sciences Computing Group at the Texas Advanced Computing Center! Come join the most interesting and dynamic group of scientists and engineers around as we advance science and society through the application of advanced computing.
RESPONSIBILITIES
The Computational Biology Research Associate is responsible for providing the necessary support to enable computational biology and biomedicine researchers at UT System academic and health institutions to utilize the advanced computational resources at TACC. This position will based in either Austin or Dallas.
Essential Functions:
Serving as a primary point of contact for UT System life science investigators in the greater Dallas region (UTSW, UT Health Science Center Tyler, UT Dallas, UT Arlington). Scheduling, organizing and conducting regular training workshops for life science investigators. Consulting with researchers on specific questions regarding the application/use of TACC's computational systems. Providing one-on-one and small group research facilitation by assisting researchers who may be unfamiliar with the use of advanced computational systems for the analysis of biological data. Coordinating with the existing campus centers that produce relevant biological data to keep ahead of new developments. Working closely with the TACC Computational Biology group to maintain close coordination between UT System campuses and TACC. Providing community feedback to enhance TACC's computing resources, services, R and D, and expertise. Pursuing opportunities for new research through proposals and partnerships with agencies and companies. Publishing and presenting results from collaborations.
REQUIREMENTS
Ph.D. in a biological science discipline (biology, biochemistry, medicinal chemistry, bioengineering, etc.), engineering, or computer science that included computational biology work as part of the research effort. Three years' experience working in a computational research position. Expertise in compiling and configuring software, using scripting languages, managing data, and developing and running computational applications in a Linux/Unix environment. Advanced programming skills including parallel applications, performance tuning and optimization methods. Proven ability to promote and support the use of high-performance computing, visualization, networking, and massive data storage systems to scientists to expand their research impact. Strong interest in science and technology and ability to rapidly adopt and adapt to leading edge technologies. Excellent oral presentation and communications skills. Advanced ability to work independently under established deadlines and as part of a team. Ability to travel a minimum of 20 percent as required to partner/collaborator institutions, relevant conferences, etc. Equivalent combination of relevant education and experience may be substituted as appropriate.
PREFERENCES
Five years working at computational research positions in academic or government laboratories. Experience with extracting, manipulating, and integrating data from public biological data repositories (e.g. NCBI, Ensembl, UCSC). Advanced expertise working in a Linux command line environment. Substantial publication record in the computational life sciences. Demonstrated success in in preparing proposals for funding programs in computational science activities. Demonstrable proficiency at least one of the following development platforms: R/Bioconductor, scientific Python, Perl, C/C++, MPI. Experience analyzing and interpreting large-scale imaging, genomic, protein mass spectrometry, biomedical imaging, epidemiological, or other biology-oriented data.
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