JOB SUMMARY:

The Research Cyberinfrastructure group at the University of Wisconsin-Madison, Division of Information Technology is hiring a Research Cyberinfrastructure Cloud Consultant. The Research Cyberinfrastructure Cloud Consultant will provide end user support and training for researchers using public cloud computing resources for research workflows. You will provide support and guidance to researchers to enable them to leverage a variety of university hosted and public cloud computing resources for machine learning and data science research. In this role, you will be responsible for responding to user requests and issues related to these resources. You will become expert at matching the needs of researchers to the evolving suite of services and resources for AI and data science and to best practices for using them. You will develop and deliver workshops, training, and documentation for researchers, in partnership with groups in central and distributed IT, research computing centers, and the Data Science Hub. Your work will help researchers use key elements of research computing infrastructure, in support of the University’s RISE (Research Innovation and Scholarly Excellence) initiative.
University of Wisconsin-Madison is a leading research university, known for interdisciplinary research that creates new knowledge and innovations that benefit society and improve lives around the world.
The Research Cyberinfrastructure unit, within the Division of Information Technology, team is a group of IT professionals that provides services and support to researchers for their data, computing, data science, and AI-based work. Our mission is to provide a robust, secure, and evolving infrastructure that enables the work of researchers in all disciplines and aligns with UW-Madison’s research mission and strategic priorities. To do this, we partner extensively with groups in central and distributed IT, research computing centers, the Data Science Institute, and the Libraries. We focus on providing high quality, reliable services while continuously exploring and learning new technologies that will become transformative for research.
The Division of Information Technology (DoIT) is an exciting and dynamic work environment grounded in organizational principles that include family and personal life/work balance; an inclusive, respectful, and supportive work environment; professional development opportunities; innovation; and alignment with the campus’s teaching, learning, and research missions.

EDUCATION:

Preferred
Bachelor’s Degree

QUALIFICATIONS:

Required

• Professional experience supporting researchers and/or other clients as a member of an IT, Library, or computing service organization or research lab, group, or center
• Professional experience developing technical documentation, tutorials, training, or other support materials for end users
• Professional experience designing, implementing, and maintaining resources and solutions in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Demonstrated experience using coding skills in a professional work environment in one or more of the following: Python, R, or comparable language(s)

Preferred

• Professional Experience deploying machine learning models on public cloud platforms
• Professional experience developing automated processes for data analysis, extraction, or formatting using REST APIs, scripting languages, or other tools
• Familiarity with current storage, computation, and data-intensive workflows in one or more research disciplines
• Awareness of security protocols and regulatory compliance (i.e., HIPAA, FedRAMP, Controlled Unclassified Information) areas that impact research
• Basic skills and experience with at least one of the following platforms: Vscode, RStudio, git, Jupyter Labs/Notebook, GitHub/GitLab

Applies computational, computer science, data science, and cyber infrastructure (CI) research and development principles to provide advanced and varied consultation on research and technology integration and development. Provides non-routine maintenance, planning, and advanced troubleshooting to ensure CI resources meet research needs. Provides guidance and training to other staff and serves as subject matter expert for internal stakeholders.

• 20% Serves as a CI domain expert, provides direct support of users, other staff providing support of users, and advanced computing systems
• 30% Provides expertise and experience in CI to lead troubleshooting, analysis, operation, and support of advanced computing systems and for research
• 30% Develops unique and custom Cyber Infrastructure solutions for research needs
• 20% Writes and updates documentation and tutorials supporting CI activities for research. May provide brief courses for internal researchers and external collaborators