Research Systems Administrator III, Translational Research Office (TReO) (Phoenix)

Based on the growth and complexity of research computing at the College of Medicine-Phoenix the addition of a technical research position to support the local computing environment is desired. This position will be dedicated to supporting this environment, both hardware and applications and consult with research faculty and staff to determine what the most suitable compute and storage solutions are for research department needs.

The University of Arizona College of Medicine - Phoenix anchors the 28-acre Phoenix Bioscience Core in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The Phoenix Biomedical Campus embodies the University's priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

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• 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.

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).

• 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.

• 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).

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).