Associate Vice President for Research Computing

Posting Summary
Rutgers The State University of New Jersey is seeking an Associate Vice President for the Office of Advanced Research Computing. The Associate Vice President of Research Computing leads a team responsible for developing managing and delivering efficient high-performance compute and research data management services to the Rutgers clinical and non-clinical research community. Computational and data management services support Rutgers researchers teaching faculty students throughout the universitys global network and collaborators at other institutions. Reporting to the Vice President of Enterprise Application & Research Computing and in consultation with the Senior Vice President for Research the AVP enables excellence and innovation with a strong faculty centered efficient high-performance research computing service portfolio. Among the key duties of this position are the following: Oversees the Office of Advanced Research Computing ( OARC ) an Office of Information Technology division. Leads a team of experienced research computing professionals to foster partnerships with PIs researchers and students to support their research scholarship and creative endeavors. Creates and maintains a strategic plan and support a framework for research computing in direct support of faculty research throughout the global network. Works closely with other units in OIT Rutgers University research computing teams and other partners and service providers to keep research computing at the leading edge in a technically and fiscally sustainable way. The AVP will be a key strategic partner with Rutgers faculty research departments central and distributed information technology organizations and programs to advance the institutions research enterprise. Develops a deep and broad understanding of faculty student and staff expectations. Understands the trends and disruptive forces in research computing and research data management. Works with university leadership to develop research data governance policies and best practices. Advocates for the use of centrally administered research computing hardware platforms. Partners with Enterprise Infrastructure to provide the requisite software infrastructure to support researchers. Builds a shared aspirational research computing support strategy for the university and develops a plan to bring this strategy to fruition. Works to pursue grant funding for the benefit of Rutgers University and the research community it serves. And given the current era of data sharing requirements amongst researchers the AVP will be capable of building relationships with peer institutions and research partners throughout the country and the world all while being mindful and intentional about the implementation of risk management frameworks and best practices. Provides strategic leadership fiscal stewardship and operational oversight for OARC which strives to create a seamless ecosystem that allows researchers to maximize the use of a suite of research computing resources with little friction and with minimal administrative overhead to manage rapidly changing compute data and intellectual property security needs.

Overview
Rutgers The State University of New Jersey is a leading national research university and the State of New Jerseys preeminent comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey Rutgers University is committed not only to the students and the State that we serve but also to the faculty and staff who work on our campuses. For two consecutive years Rutgers is ranked on Forbes list of Americas Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publications 2023 list. Rutgers commitment to its employees includes maintaining and fostering a safe diverse and respectful workplace environment creating employment opportunities for our nations military veterans and ensuring accessibility and accommodation for individuals with disabilities.

Preferred Qualifications
PhD or advanced degree in science computer science or engineering. Experience working closely on collaborative clinical / translational applications. Experience with large scale data warehousing. Experience managing and protecting restricted data. Experience working with faculty or clients in a computational domain. Experience using HPC systems as a researcher. Experience developing and delivering tutorials workshops and lectures on high performance computing at the institutional regional and national levels.