Research Cyberinfrastructure Storage Lead
Overview of primary responsibilities
The Research CI (Cyberinfrastructure) Storage Lead is the point person for a portfolio of research data storage and transfer services that are integrated with core enterprise infrastructure managed by the Division of Information Technology. These include ResearchDrive and Globus. These services are widely adopted by researchers across academic units at the University of Wisconsin-Madison and are key components of the University’s research infrastructure. This role provides a leadership opportunity to plan and develop new capabilities in the portfolio to support computing, archiving, data-sharing, and compliance needs of researchers.
This role has a campus-facing function, engaging with the research community and IT staff to identify and support research data needs and ensure alignment of research storage services with other campus IT resources, both central and local to researchers. This role also has an internal-facing component, and, in that capacity, is responsible for the coordination of service delivery in partnership with core operational teams at DoIT, including the Storage & Data Protection, Cybersecurity, Identity and Access Management, and Network Engineering teams. The Research CI Storage Lead also works with other Research CI team members to integrate storage and transfer systems with the data science, cloud computing, and other services that the team provides.
The person in this position will ensure that these services support the full data lifecycle needs of researchers and enable compliance with campus, federal, and other policies and mandates for data protection, security, access, and retention. Additionally, the Research CI Storage Lead is responsible for annual reviews and will gather input from governance bodies to inform ongoing planning for enhancements that support the evolving data management needs and requirements of researchers.
About the Research Cyberinfrastructure Group
The RCI team is a focus area within the Office of the Chief Technology Officer at the Division of Information Technology. This team was founded in 2019 and is growing and adding capabilities to meet the evolving needs of campus researchers. Our team focuses on enterprise level services for data lifecycle, data storage, data science, and cloud computing. We collaborate with IT and RCI colleagues in DoIT and academic units to advance campus strategic initiatives and enable adoption of services by researchers in all disciplines and with all types of data and compliance requirements. We are a researcher-facing group, helping users design, test, and adapt data collection and analysis workflows. Our vision is to provide a connected, end-to-end infrastructure that makes it easier for researchers to build data and computing pipelines to enable their innovations. The RCI team strives to provide a working environment that welcomes all ideas, perspectives, and backgrounds and works together on complex and challenging research cyberinfrastructure issues.
For questions about the position, please contact Jan Cheetham (email@example.com) or Michael Layde (firstname.lastname@example.org)
Applies advanced computational, computer science, data science, and cyber infrastructure (CI) research and development principles, with relevant domain science knowledge, to provide highly complex research, technology, and software development solutions for research. Performs in-depth evaluation of variable factors impacting medium to large projects of broad scope and complexities, provides leadership to staff, and serves as a subject matter expert for internal and external stakeholders.
- 15% May lead a team of research and technical staff providing CI resources and support. Assists in the design, implementation, and recommendation of new hardware and software technologies for advancing complex research computing, data science, and CI projects
- 30% Applies advanced research computing, data, and/or CI research and development concepts to plan, design, develop, modify, debug, deploy, and evaluate highly complex research computing (software and/or hardware), data science or computational science workflows, or CI software and technologies
- 20% Applies advanced research and development practices, community standards, and department policies and procedures. Contributes to research and CI policy development for the department or research center
- 10% Contributes to or prepares reports of project status and/or technical research for professional organizations, government/sponsors, review boards, and design reviews
- 5% May advise institutional or divisional leadership on CI topics
- 10% May lead the planning, scheduling, and/or assignment and review of work for a defined project, program, or function
- 10% Provides one on one consultations with departments and researchers to determine research data cyberinfrastructure needs and match with appropriate solutions
INSTITUTIONAL STATEMENT ON DIVERSITY:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
-Broad experience supporting researchers and/or other populations of users with diverse information technology needs as a member of an IT, research, or Library organization
-Well-developed skills facilitating collaborations with cross-functional technical teams to deliver IT services to varied audiences
-A passion for service excellence and ensuring services meet the needs of users
-Familiarity with research storage and/or computation environments such as computing clusters, public cloud platforms, Linux and/or Windows workstations
-Basic coding skills in one or more of the following: Python, R, Bash, or comparable language(s)
-Awareness of security protocols and regulatory compliance (i.e., HIPAA, FISMA, Controlled Unclassified Information) areas that impact research
-Knowledge of the day-to-day processes involved in research and discovery, including research workflows, data lifecycles, and grant funding cycles and requirements
UW-Madison continues to follow necessary health and safety protocols to protect our campus from COVID-19. All employees remain subject to the COVID-19 Workplace Safety Policy: https://policy.wisc.edu/library/UW-5086. Please visit https://covidresponse.wisc.edu for the most up-to-date information.
Full Time: 100%
The candidate selected for this position will initially perform a combination of on-site and remote work subject to an approved remote work agreement (RWA) agreement, which is reviewed and approved annually. In the future, this position will likely perform a combination of onsite and remote work. Remote work requires successful candidates to possess their own high-speed internet and phone to perform the work on a University provided computer.
APPOINTMENT TYPE, DURATION:
Minimum $88,000 ANNUAL (12 months)
Maximum $108,000 ANNUAL (12 months)
Depending on Qualifications
Employees in this position can expect to receive benefits such as generous vacation, holidays, and paid time off; competitive insurances and savings accounts; retirement benefits.
Please note that successful applicants must be authorized to work in the United States without need of employer sponsorship, on or before the effective date of appointment.
HOW TO APPLY:
Click on the "Apply Online" button to start the application process.
You will be prompted to upload the following documents:
Cover letter (REQUIRED)
Please use your cover letter to speak to each of the Required Qualifications for this position (listed above in the Qualifications section). For each Required Qualification, describe your relevant experience, using specific examples from your work history to illustrate how your experience satisfies the requirement.