NC State Bioinformatics Research Center · 22 hours ago
Temporary Computational Scientist
Raleigh, NC
Full-time
Onsite
New Grad, Entry LevelNC State Bioinformatics Research Center is seeking a Temporary Computational Scientist to assist researchers and faculty in utilizing high-performance computing resources. The role involves building bioinformatics infrastructure, providing computational support, and developing training materials for bioinformatics workflows and data analysis.
Biotechnology
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
Experience in high-performance computing (HPC) systems
Proficiency in Unix, Python, and shell scripting
Experience in bioinformatics computing, including pipeline development, optimization, and troubleshooting
Ability to support analysis of diverse biological data types, including next-generation sequencing (NGS) and phenotypic data
Experience in scientific analysis, data visualization, and interpretation of modeled or measured datasets
Ability to develop example code, templates, workflows, and documentation to support reproducible research practices
Experience in maintaining and installing scientific software and bioinformatics tools in HPC environments
Ability to develop, deploy, and maintain containers using platforms such as Docker and Apptainer (Singularity)
Knowledge of workflow management systems, virtual machines, and container orchestration approaches
Experience in designing and maintaining databases to store and manage biological datasets
Expertise in data visualization using commonly used scientific visualization tools
Ability to support the development of interactive and reactive web applications for research dissemination
Experience in creating and delivering custom training modules, workshops, and documentation on research computing, bioinformatics, and data analysis topics
Ability to collaborate closely with computational researchers, faculty, and research staff across disciplines
Company
NC State Bioinformatics Research Center
The BRC at NC State: Where Biology Meets Data When the Bioinformatics Research Center (BRC) at NC State University was founded in 2000, it was built on a key insight: understanding the genomic structure of even the simplest organisms requires applying quantitative methods to massive datasets.
Founded in 2000
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase