Science & Technology Research Intelligence Analyst

Summary

Virginia Tech is a comprehensive research university seeking a Science & Technology Research Intelligence Analyst. The analyst will document, collect, and analyze research and scholarly activity data to support strategic decision-making, while providing consultations, education, and outreach on research intelligence, researcher visibility, funding opportunities, research analytics, and evaluation policy. The role also provides specialized support for bibliometrics, network visualization, research ecosystem data, and liaison services.

Responsibilities

• Provide consultations and deliver services related to documenting, collecting, and analyzing research and scholarly activity data to providing qualitative and quantitative evidence for strategic decision making through a variety of research domains
• Provide education and outreach on research intelligence, researcher visibility, finding funding opportunities, research analytics and tools, national research evaluation policy, and developing strategies for researchers and administrators to effectively Virginia Tech
• Work with the team to provide specialized support for bibliometrics, network visualization options, and emerging applications of research ecosystem data
• Be liaison librarian to one program, department, or institute that is related to the incumbent’s background and/or expertise
• Partner with colleagues across the Libraries and University (academic colleges, departments, institutes, and others Office of Research and Innovation, Institutional Effectiveness & Analytics, Office of the Provost), serve as liaison to Virginia Tech Transportation Institute, and support the Virginia Tech community across all locations, including distance and online affiliates, utilizing best practices to reflect Virginia Tech’s Principles of Community throughout work activities and initiatives

Skills

• A terminal degree in a field related to the job duties, such as a master's in library and/or Information Science (MLS, MLIS, MIS, etc) from an ALA-accredited graduate program, or Ph.D or other terminal degree related to job duties
• Experience working as a professional in a large research-intensive university, national lab, or similar research-intensive institution
• Education, training, or experience with one or more of the following: scholarly databases and their metadata, and/or related platforms, software, tools, or databases
• Experience designing, planning, implementing, and maintaining complex projects or services
• Evidence of knowledge, background, or experience in current and emerging trends or theories in academic research and scholarship
• An active research agenda demonstrated through published scholarly work
• Experience with research, funding, and/or patent metrics, analysis methods, bibliographic databases, and research analytic software and/or tools such as Scival, InCites, or Academic Analytics
• Experience providing services related to research, funding, and/or patent metrics, as well as experience in data management and/or data science
• Experience in library services, institutional effectiveness, or intelligence work
• Working knowledge of Python or R

Qualifications

Must Haves

• A terminal degree in a field related to the job duties, such as a master's in library and/or Information Science (MLS, MLIS, MIS, etc) from an ALA-accredited graduate program, or Ph.D or other terminal degree related to job duties
• Experience working as a professional in a large research-intensive university, national lab, or similar research-intensive institution
• Education, training, or experience with one or more of the following: scholarly databases and their metadata, and/or related platforms, software, tools, or databases
• Experience designing, planning, implementing, and maintaining complex projects or services
• Evidence of knowledge, background, or experience in current and emerging trends or theories in academic research and scholarship

Nice to Haves

• An active research agenda demonstrated through published scholarly work
• Experience with research, funding, and/or patent metrics, analysis methods, bibliographic databases, and research analytic software and/or tools such as Scival, InCites, or Academic Analytics
• Experience providing services related to research, funding, and/or patent metrics, as well as experience in data management and/or data science
• Experience in library services, institutional effectiveness, or intelligence work
• Working knowledge of Python or R

Benefits

• Eligible for hybrid or fully remote work; the work arrangement will be confirmed upon hire, with up to four campus visits per year as necessary for collaboration purposes.
• Participation in professional development opportunities.
• Opportunities for participation in university shared governance, providing representation and perspective and opportunities for unique and impactful professional development.