This RESA V position 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 Texas Advanced Computing Center (TACC).
Serving as a primary point of contact for UT System life science investigators. 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. 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.
Other related functions as assigned.
Ph.D. in a life science discipline (biology, biochemistry, medicinal chemistry, bioengineering, etc.), that included computational work as part of the research efforts and four years' experience (or M.S. and six years) working in a computational research position. Facility with compiling and configuring software, using scripting languages, managing data, and developing and running computational applications in a Linux/Unix environment. Programming skills that include parallel application development, 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.
Four 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). Two years work experience conducting computational biology research (academic, government, or industry). Advanced expertise working in a Linux command line environment. Demonstrated success in publishing computational science results. Experience analyzing large-scale genomic, protein mass spectrometry, biomedical imaging, epidemiological, or other biology-oriented data.
May work around standard office conditions May work around electrical and mechanical hazards Repetitive use of a keyboard at a workstation