Presentation
Computational Scientist — BioHPC
·
BioHPC at UT Southwestern Medical Center
·
Dallas, TX
SessionJob Postings
DescriptionAre you a …
• User of HPC systems with a background in biomedical or basic science research who wants to transition into the HPC side of enabling new discoveries?
• Computer scientist or engineer with a focus on HPC-specific innovation and research?
• Programmer with Linux experience on multiple platforms or have strong C++ skills?
• Student or recent graduate wanting to broaden your skills to include HPC expertise?
BioHPC is recruiting for full-time positions and internships across a wide range of skills and experience. We operate with a “flat” organizational structure that strives to foster a community of peer computational scientists. Job duties vary by skill specialization and team members may function as generalists or as subject matter experts. You will find ample opportunities to explore different systems and applications, provide training and education, work on diverse research projects, and function as project manager of specific initiatives so that you experience intellectual stimulation and professional growth throughout your career with BioHPC.
* The positions with BioHPC are not traditional bioinformatics or data analysis roles. Instead, they focus on providing an infrastructure for scientific computing in biomedical and clinical research areas.
JOB DUTIES
• Support faculty and research teams from all BioHPC member departments at UTSW in adapting computational strategies to the specific features of the BioHPC infrastructure.
• Work with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing and database servers.
• Automation of continuous integration and continuous deployment (CI/CD) pipelines to deliver software in the HPC environment, including containerized environments.
• Develop software and methods to explore, analyze and visualize very complex and high dimensional biological and biomedical data sets.
• Design and optimize workflows for the high-performance compute environment for data collection, data integrity, stable data flow, and ensuring data security during transfer and at rest.
• Participate with UTSW faculty in the design and execution of collaborative research studies in biomedical informatics, providing expertise on the HPC environment.
• Interact with users to understand computational research needs and develop/deliver training on the application and usage of computational systems to help accelerate the pace of scientific discovery across UTSW’s research community.
• User of HPC systems with a background in biomedical or basic science research who wants to transition into the HPC side of enabling new discoveries?
• Computer scientist or engineer with a focus on HPC-specific innovation and research?
• Programmer with Linux experience on multiple platforms or have strong C++ skills?
• Student or recent graduate wanting to broaden your skills to include HPC expertise?
BioHPC is recruiting for full-time positions and internships across a wide range of skills and experience. We operate with a “flat” organizational structure that strives to foster a community of peer computational scientists. Job duties vary by skill specialization and team members may function as generalists or as subject matter experts. You will find ample opportunities to explore different systems and applications, provide training and education, work on diverse research projects, and function as project manager of specific initiatives so that you experience intellectual stimulation and professional growth throughout your career with BioHPC.
* The positions with BioHPC are not traditional bioinformatics or data analysis roles. Instead, they focus on providing an infrastructure for scientific computing in biomedical and clinical research areas.
JOB DUTIES
• Support faculty and research teams from all BioHPC member departments at UTSW in adapting computational strategies to the specific features of the BioHPC infrastructure.
• Work with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing and database servers.
• Automation of continuous integration and continuous deployment (CI/CD) pipelines to deliver software in the HPC environment, including containerized environments.
• Develop software and methods to explore, analyze and visualize very complex and high dimensional biological and biomedical data sets.
• Design and optimize workflows for the high-performance compute environment for data collection, data integrity, stable data flow, and ensuring data security during transfer and at rest.
• Participate with UTSW faculty in the design and execution of collaborative research studies in biomedical informatics, providing expertise on the HPC environment.
• Interact with users to understand computational research needs and develop/deliver training on the application and usage of computational systems to help accelerate the pace of scientific discovery across UTSW’s research community.
RequirementsBachelor’s degree in computer science, engineering, physics, or other field related to biomedical and computational research. Experience with HPC and/or demonstrated success in publishing computational science results is a strong plus. Master’s degree or PhD preferred.
Company DescriptionThe research computing infrastructure for UT Southwestern Medical Center is the Biomedical High Performance Computing (BioHPC) resource that includes an HPC cluster containing conventional and GPU-based nodes for parallel computing, large-scale data storage, and integration of HPC with high-performance desktop workstations. The Computational Scientist – BioHPC will work on the daily operations of the HPC system, provide user support and training, and collaborate on high-end computational research projects.
·
·
2024-10-18
Event Type
Job Posting
TimeTuesday, 19 November 202410:30am - 3pm EST
LocationExhibit Hall A3 - Job Fair Inside
TP
W
TUT
XO/EX
USA
BioHPC- UT Southwestern Medical Center
In-person
Full Time