Job ID: 5606
Job date: 2017-06-08
End Date:
Company : UT Southwestern Medical Center Country : Role : Research Scientist
Job date: 2017-06-08
End Date:
Company : UT Southwestern Medical Center Country : Role : Research Scientist
Job Description:
The UTSW Biomedical High Performance Computing (BioHPC) infrastructure is accepting applications for Computational Scientists at entry through senior levels of expertise. The development team covers all aspects of HPC for users, from system expansion and maintenance to collaborative work on computational research projects. The team’s mission is to develop robust analytical tools and computational workflows that lower the barriers for use of HPC systems for expert and novice users alike, thus allowing more UTSW researchers to work efficiently with computationally complex analyses and big data. Apply at UTSW Careers: http://jobs.utsouthwestern.edu/job/computational-scientist-bioinformatics-research-laboratory-support-527657/.
Additional Info:
About Us: Innovation in biomedicine depends on innovation in detecting complex associations between increasingly higher-dimensional datasets. Providing this innovation is the core task of bioinformatics and is largely independent of the field of application. The Lyda Hill Department of Bioinformatics views the ultimate goal of bioinformatics as combining all data types into a global association scheme that links patient behavior and outcomes to disease risk and progression, as probed by the full spectrum of available measurements. The launch of a new academic medical center department without ties to historical preconceptions of the term ‘bioinformatics’ provides us with an opportunity to establish a transformative intellectual and technical infrastructure that deploys to biomedicine innovative information science in the broadest sense. The UT Southwestern Biomedical High Performance Computing team, a resource of the Department, helps to accomplish that transformation by providing and maintaining high-performance computing, storage and client systems for the UTSW research community. BioHPC offers hardware for cluster computing, large data storage, file sharing inside and outside the campus, a portal to integrated desktop and thin-client computing in individual labs, and training and educational opportunities for users across campus, both in the basic sciences and clinical arenas. Start date: As soon as possible Contact Rebekah Craig Rebekah.Craig@UTSouthwestern.edu [Click Here to Access the Original Job Post]
The UTSW Biomedical High Performance Computing (BioHPC) infrastructure is accepting applications for Computational Scientists at entry through senior levels of expertise. The development team covers all aspects of HPC for users, from system expansion and maintenance to collaborative work on computational research projects. The team’s mission is to develop robust analytical tools and computational workflows that lower the barriers for use of HPC systems for expert and novice users alike, thus allowing more UTSW researchers to work efficiently with computationally complex analyses and big data. Apply at UTSW Careers: http://jobs.utsouthwestern.edu/job/computational-scientist-bioinformatics-research-laboratory-support-527657/.
Qualifications:
Technical preferences: --Knowledge of Linux operating systems (CentOS/Red Hat (preferred), Fedora, Ubuntu) --Linux system administration experience --Software installation and maintenance experience --Fluent in debugging and programming in at least one of the following languages (C/C++, Python, Matlab, Perl, bash) --Working knowledge of computer architecture, storage, and networking concepts Additional Desirable Skills: The following skills are not requirements of a successful applicant, but candidates with these skills are strongly encouraged to apply. --Web programming (HTML, PHP, MySQL, etc.) --Technical documentation and delivery of user training --Database management experience (MySQL, PostgreSQL) --Experience with highly parallel, clustered, or supercomputing systems --Experience of installation testing and test reporting --Experience in automating system administration and configuration (e.g. Puppet) --Parallel programming using MPI, OpenMP, Pthreads, CUDA etc. --Experience deploying and maintaining a distributed Windows computing infrastructure. --Experience with parallel file systems such as GPFS and Lustre. Other requirements/preferences: Education/Experience: for entry level: BS in computer science, physics, computational engineering, bioinformatics or related field and 3 years’ experience in software development/analysis; for intermediate and senior levels: MS or PhD in computer science, physics, computational engineering, bioinformatics or related field. --Strong oral and written English communication skills. --Strong interpersonal skills and the ability to work well in a team environment. --Willingness to work off-hours when needed.Requeriments :
Skills :
- HPC
- HTML
- Lunix/Unix
- MySQL
- Parallel Computing
- PHP
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in PERL
- Programming in R
- Software Design
Areas :
Additional Info:
About Us: Innovation in biomedicine depends on innovation in detecting complex associations between increasingly higher-dimensional datasets. Providing this innovation is the core task of bioinformatics and is largely independent of the field of application. The Lyda Hill Department of Bioinformatics views the ultimate goal of bioinformatics as combining all data types into a global association scheme that links patient behavior and outcomes to disease risk and progression, as probed by the full spectrum of available measurements. The launch of a new academic medical center department without ties to historical preconceptions of the term ‘bioinformatics’ provides us with an opportunity to establish a transformative intellectual and technical infrastructure that deploys to biomedicine innovative information science in the broadest sense. The UT Southwestern Biomedical High Performance Computing team, a resource of the Department, helps to accomplish that transformation by providing and maintaining high-performance computing, storage and client systems for the UTSW research community. BioHPC offers hardware for cluster computing, large data storage, file sharing inside and outside the campus, a portal to integrated desktop and thin-client computing in individual labs, and training and educational opportunities for users across campus, both in the basic sciences and clinical arenas. Start date: As soon as possible Contact Rebekah Craig Rebekah.Craig@UTSouthwestern.edu [Click Here to Access the Original Job Post]