KNOWLEDGE, SKILLS, AND ABILITIES:

• Excellent programming skills (Python, R, Perl).
• Knowledge working with the Linux/Unix command line (software management, shell, and scripting languages).
• Ability to handle large-scale scientific data sets (including regulated data) and cluster computing (e.g. SLURM).

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent advanced learning attained through professional level experience required.
• Five (5) years of relevant work experience, or equivalent combination of education and work experience.

PREFERRED QUALIFICATIONS

• Experience managing Research Lab computing environments that includes instrument connections, data collection and analytics.
• Experience architecting and supporting Research and Statistical Applications.
• Experience architecting, building, and supporting Linux/Unix servers.
• Experience in common computational biology / bioinformatics software tools (e.g. samtools, bedtools, STAR).

• Architect, manage, and support Linux-based research computing systems for UA-COMP, ensuring system reliability, performance, and alignment with researchers’ data analysis needs.
• Maintain and optimize research storage infrastructure, including ZFS, BeeGFS, and tape-based backup systems, in collaboration with PBC IT to support large-scale scientific data.
• Manage high-performance computing environments, including a SLURM-based job scheduler and the integration of compute/storage nodes to support life sciences research.
• Install and maintain specialized research software, including bioinformatics tools, often built from source, to support evolving project needs.
• Develop hybrid computing solutions, leveraging both on-prem systems and main campus or cloud resources to enhance research productivity and scalability.
• In a consultation setting, interacts with investigators to understand scientific questions. Defines the scope of work and proposes an analytical plan with a time estimate for its completion.
• Consult with research and educators on how HPC could enhance their Research needs.
• Provides general bioinformatics analysis support for omics projects.
• Responsible for data analysis and software selection including next generation sequence alignment, polymorphism identification, gene expression analysis, and visualization tools and browsers.