Hybrid Science & Tech Research Intelligence Analyst

Remote Co.; Blacksburg (VA); Hybrid; USD 61,000 - 75,000; Full time

Job summary

Virginia Tech is seeking a Science & Technology Research Intelligence Analyst to document and analyze research activity data, delivering qualitative and quantitative evidence for strategic decisions across multiple domains.

The role includes education and outreach on research intelligence, researcher visibility, finding funding opportunities, and supporting bibliometrics and visualization of research ecosystem data. Interfacing with diverse university units and distance learners is required.

Qualifications

• Terminal degree in a field related to job duties (MLS/MLIS/MIS or PhD).
• Experience at a large research-intensive university or national lab.
• Experience with scholarly databases, metadata, or related platforms/tools/databases.
• Experience designing and maintaining complex projects or services.
• Knowledge of current trends in academic research and scholarship.

Responsibilities

• Document, collect, and analyze research and scholarly activity data for strategic decision making.
• Provide education and outreach on research intelligence, researcher visibility, and funding opportunities.
• Support bibliometrics, network visualization, and emerging applications of research ecosystem data.
• Serve as liaison to a program/department and collaborate across Libraries and University offices.

Skills

Research analytics

Bibliometrics

Network visualization

Liaison experience

Python or R

Education

MLS/MLIS/MIS (ALA-accredited) or PhD

Tools

Scival

InCites

Academic Analytics

Job description

Virginia Tech is seeking a Science & Technology Research Intelligence Analyst to document and analyze research activity data, delivering qualitative and quantitative evidence for strategic decisions across multiple domains.

The role includes education and outreach on research intelligence, researcher visibility, finding funding opportunities, and supporting bibliometrics and visualization of research ecosystem data. Interfacing with diverse university units and distance learners is required.