Temporary Computational Science Specialist
Listed on 2026-02-18
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IT/Tech
Data Scientist, Computer Science, Data Analyst -
Research/Development
Data Scientist
Essential Job Duties
The primary purpose of this position is to assist researchers and faculty in the College of Sciences in using College, University, and external high-performance computing (HPC) clusters and other scientific computing resources in collaboration with College faculty, including the Bioinformatics Research Center (BRC). The position will build and maintain bioinformatics infrastructure and databases on the campus high‑performance computer; design and implement example bioinformatics pipelines on the campus HPC to process and analyze large‑scale genomics datasets;
develop online asynchronous and in‑person training materials for graduate students, faculty, and staff; mentor and train graduate students and postdocs in Unix, Python, shell scripting, and HPC for bioinformatics. The Computational Science Specialist plays a critical role in enabling researchers to migrate, implement, and optimize computational workloads on NC State’s HPC systems, as well as external resources, including national supercomputing centers and commercial cloud platforms.
This position provides hands‑on computational science and bioinformatics support to faculty, researchers, graduate students, and new investigators across the research community.
Posting Number: PG195758TM
Position Number: 17
LDM
02
Position Type: Temporary
Job City & State: Raleigh, NC
Department: COS IT
Classification
Title:
Temporary-Professional Non Faculty
Working Title: Temporary Computational Science Specialist
Reporting To: Assistant Director of Information Technology
Key Responsibilities Research Computing & HPC Support- 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 varied 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.
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