North Carolina State University · 1 day ago
Temporary Computational Science Specialist
North Carolina State University is seeking a Temporary Computational Science Specialist to assist researchers and faculty in utilizing high-performance computing resources. The role involves building bioinformatics infrastructure, supporting computational workloads, and providing training to graduate students and faculty in bioinformatics and data analysis.
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Responsibilities
Support researchers in moving, configuring, and running computational workloads on NC State HPC systems, college-level computing resources (including the BRC), and external HPC facilities such as national supercomputing centers and cloud platforms
Provide ongoing computational science support to faculty, researchers, graduate students, and new users of research computing infrastructure
Assist faculty with developing budgets, allocations, and proposal components related to access to HPC and advanced computing resources
Work closely with research groups in the Bioinformatics Research Center (BRC) and other campus units
Support bioinformatics workflows, scientific software, data analysis, visualization, and training initiatives
Provide expertise in bioinformatics computing, including pipeline development, optimization, and troubleshooting
Support analysis of diverse biological data types, including next-generation sequencing (NGS) and phenotypic data
Assist with scientific analysis, data visualization, and interpretation of modeled or measured datasets
Develop example code, templates, workflows, and documentation to support reproducible research practices
Maintain and install scientific software and bioinformatics tools in HPC environments
Develop, deploy, and maintain containers using platforms such as Docker and Apptainer (Singularity)
Maintain knowledge of workflow management systems, virtual machines, and container orchestration approaches
Design and maintain databases to store and manage biological datasets, ensuring accessibility and sustainability for research groups
Provide expertise and example code for data visualization using commonly used scientific visualization tools
Support the development of interactive and reactive web applications for research dissemination, including applications built with frameworks such as Shiny
Assist researchers in building databases and research-facing websites where appropriate
Create and deliver custom training modules, workshops, and documentation on research computing, bioinformatics, and data analysis topics
Focus on skills development and computational literacy for graduate students and early-career researchers
Contribute to shared knowledge bases and user guides supporting campus-wide scientific computing initiatives
Collaborate closely with computational researchers, faculty, and research staff across disciplines
Support other scientific computing initiatives within the Sciences IT team as needed
Serve as a liaison between researchers and IT to improve research computing services and infrastructure
Qualification
Required
Require post-baccalaureate credentials or a bachelor's degree plus alternative or equivalent professional training and experience may be substituted for the advanced degree on an exceptional basis; or equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions
Proven knowledge of scripting programming languages like Shell, Python, and/or R
Familiarity with job schedulers (ie SLURM, LSF) and job scheduling practices
Experience working with Containers for Scientific Applications
Comfortable administering the Linux Operating System
Ability to identify capabilities and limitations of local scientific computing resources, be able to connect researchers with appropriate external resources, and identify cases where the use of commercial cloud platforms may be applicable
Demonstrated ability to work effectively in a dynamic, collaborative environment with colleagues and build partnerships
Strong communication and presentation skills
Able to convey technical information in a clear and thorough manner
Preferred
Master's degree or PhD in a Computational Biology/Bioinformatics-related field
Experience working in a higher education or research environment
3+ years of relevant professional experience
Experience in GPU computing
Experience with Github for software management
Experience with the usage of workflow languages (like Nextflow) for developing and maintaining bioinformatics analysis pipelines
Ability to mentor and train others, including developing and running workshops
Benefits
Health Insurance for Temporary Employees
Enhance your career with LEAD courses
Attend non-revenue generating sporting events for free.
Childcare discounts
Wellness & Recreation Membership
Wellness Programs
Company
North Carolina State University
North Carolina State University is an educational institution that offers graduate and undergraduate programs.
H1B Sponsorship
North Carolina State University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (211)
2024 (134)
2023 (164)
2022 (106)
2021 (90)
2020 (108)
Funding
Current Stage
Late StageTotal Funding
$60.84MKey Investors
National Institute of Food and AgricultureNational Safety CouncilBezos Earth Fund
2024-06-26Grant· $0.27M
2024-06-13Grant· $0.05M
2024-05-31Grant· $30M
Recent News
2026-01-23
2026-01-06
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