North Carolina State University - Raleigh, NC

posted 16 days ago

Full-time - Entry Level
Raleigh, NC
Educational Services

About the position

The College of Sciences brings together the mathematical, physical, and biological sciences in a research-intensive environment that simultaneously values excellence in teaching and a strong community engagement. Sciences IT is a growing unit that provides innovative IT solutions, responsive and forward-looking support, and creative applications of technology to support the research, teaching, administrative and outreach functions of the College of Sciences. This position will assist researchers in bioinformatics computing, including bioinformatics pipeline development and optimization, software installation, database and website generation, and scientific analysis and visualization. Computing may occur at the NC State HPC core facility, Bioinformatics Research Center (BRC) computing resources, or external HPC facilities (supercomputing centers, cloud). As this position will work closely with research groups in the BRC, projects may include a range of data types, including Next-generating sequencing (NGS) and phenotypic data.

Responsibilities

  • Assist researchers in bioinformatics computing.
  • Develop and optimize bioinformatics pipelines.
  • Install software and generate databases and websites.
  • Perform scientific analysis and visualization of datasets.
  • Maintain knowledge of workflow management software, virtual machines, and container platforms.
  • Generate and maintain databases for biological datasets.
  • Create and deliver custom training modules and workshops on research computing topics.
  • Assist with developing budgets and proposals to access HPC resources.

Requirements

  • 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.
  • 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 using the Linux Operating System.
  • Ability to identify capabilities and limitations of local scientific computing resources.
  • Demonstrated ability to work effectively in a dynamic, collaborative environment.
  • Strong communication and presentation skills.

Nice-to-haves

  • 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.
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