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Research Technology Analyst

Information Technology Services (ITS) at the University at Albany seeks applicants for a Research Technology Analyst. The successful candidate works closely with the research community across a wide range of disciplines to deliver analytical and computational IT solutions in a complex, R1 university environment. Reporting to the Research Technology Manager, the Research Technology Analyst plays a key role in advancing the research technology environment and expanding the portfolio of services available to researchers.

This is an exciting time for research at UAlbany. ITS currently supports research-related technologies from pre-grant technology advice to managing systems and equipment for the duration of projects. Additionally, the University recently announced a $200M Albany AI Initiative and the UAlbany Healthy Aging Initiative, both of which are expected to enhance the University's reputation as a leader in these groundbreaking fields. The Research Technology Analyst will play a critical role in supporting these and other innovative research endeavors. 

The Research Technology Analyst is intellectually curious, and creative, and enjoys working with others to identify ways that sophisticated technologies can be used to explore complex problems. She/He/They are comfortable working with interdisciplinary audiences, both independently and as part of a team. This is an excellent opportunity for seasoned professionals to further evolve their expertise, or for those new in the field to develop a broad knowledge and new skills in a line of work with tremendous potential. 

Primary Responsibilities:
  • Manage relationships/advocate on behalf of the research community
  • Foster and maintain communication with researchers of the University and with others in ITS regarding service planning and delivery
  • Coordinate research administration, systems/applications development, and account management
  • Provide subject matter expertise for advanced data analytics/statistics, visualization, and computational technologies for a range of applications in a research setting
  • Provide and support the development of the technical skillsets of researchers
  • Deliver analytical and computational IT solutions to the academic and research community
  • Maintain and support research application hosting
  • Implement and maintain managed scientific computing environments
  • Maintain the security posture for assigned systems and applications in accordance with ITS policies, procedures, and industry best practices.
  • Participate in the development and maintenance of research systems standards
  • Organize and modify research storage requirements
  • Provide research Linux support
  • Coordinate with field support to maintain specialized desktop and research lab workstations
Other Responsibilities:
  • Actively participate, as needed, in ITS and campus projects
  • Be available to provide scheduled support and consultation outside normal business hours, including occasional evenings, holidays, or weekends, within reasonable professional obligation and expectation

Minimum Qualifications:
  • Bachelor's degree from a college or university accredited by a U.S. Department of Education or internationally recognized accrediting organization
  • Familiarity with the command line interface (CLI)
  • Familiarity with scalable or parallel programming
  • Experience automating common tasks in Linux using a scripting language such as Bash or Python
  • Familiarity with scientific software packages and environments
  • Applicants must address their ability to work with a culturally diverse population in their application or interview

Preferred Qualifications:
  • M.S. degree from a college or University accredited by a U.S. Department of Education or internationally recognized accrediting organization, preferably in Computer Science, Mathematics, Statistics, Computer Information Systems, Management Information Systems, Quantitative Social Sciences, or related STEM field
  • Demonstrated understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools
  • Familiarity with high-performance computing
  • Academic or professional experience using statistical methodologies
  • Experience with basic web-delivered data visualization applications
  • Demonstrated interest or experience in facilitating user-based software applications that enable research or instructional activities (e.g., statistical software such as R, Python or commercial software products, and associated data visualization technologies such as GGPlot, GoogleVis, Shiny, Plotly, D3)
  • Familiarity with fundamentals of data management, preservation, and reproducibility

Additional Information:
Professional Rank and Salary Range: Senior Programmer/Analyst SL4; $80,000-85,000

Special Notes: Visa sponsorship is not available for this position. This position has the potential for telecommuting up to 50%. 

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