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Evidence Synthesis Information Scientist, The University Libraries at Virginia Tech (Blacksburg, VA)

Job Summary:

The University Libraries at Virginia Tech is seeking an Evidence Synthesis Information Scientist to join our team.

The successful candidate will be an ambassador for high-quality evidence synthesis at Virginia Tech; as an expert in search techniques and synthesis methods such as systematic reviews; provide guidelines-based consultation, outreach, live and asynchronous training, and additional support for systematic reviews and other topics related to evidence synthesis; explore emerging tools, resources, and methods for evidence synthesis; supervise student assistants; serve as subject area liaison to one or more departments, institutes, or program areas; and contribute to supporting the Virginia Tech community in adoption of open and collaborative research practices. Participate in serving on institutional or professional committees, and demonstrating a commitment to team efforts, service excellence, and Virginia Tech’s Principles of Community.

Required Qualifications:

  • Masters degree from an ALA-accredited graduate program; OR an advanced degree in a position-related field, such as: data science, epidemiology, health sciences, life sciences, social sciences, public health, statistics, agricultural science, environmental science, engineering, or other related fields
  • Demonstrated experience leading systematic review search strategy development, implementation, and documentation
  • Demonstrated experience conducting systematic review searches in databases such as MEDLINE/PubMed, CAB Abstracts, Scopus; other databases via platforms such as EBSCOhost, ProQuest, Web of Science
  • Demonstrated experience using and supporting others in evidence synthesis search methodologies, guidelines, and standards such as those recommended by Cochrane, Campbell, the Collaboration for Environmental Evidence; PRISMA, MECCIR, ROSES; etc.
  • Demonstrated experience providing reference or research assistance and instruction/training in an academic, research, or clinical environment
  • Demonstrated experience in outreach, relationship building, and collaboration with a variety of groups such as faculty, students, or vendors
  • Demonstrated experience designing, planning, implementing, and maintaining complex projects
  • Demonstrated experience collaborating with colleagues to problem-solve and share knowledge, with a commitment to team efforts and service excellence
  • Demonstrated ability to effectively understand and communicate complex ideas to novice and scientific/technical audiences
  • Excellent writing and communication skills, including experience with proofreading publication manuscripts and following a variety of style guides

Preferred Qualifications:

  • Demonstrated experience peer reviewing systematic review search strategies
  • Demonstrated experience using and/or training others in evidence synthesis project management tools, such as: Covidence, DistillerSR, Rayyan, or others
  • Demonstrated experience providing support or instruction for developing and refining research scope; critical appraisal of primary research; systematic data extraction or coding; approaches to synthesizing qualitative evidence; and/or archiving supplemental material
  • Demonstrated experience with conducting and/or interpreting primary research
  • Demonstrated experience managing and/or analyzing data
  • Demonstrated experience in using and/or training others in text or data mining, machine learning, language models, or other AI tools for evidence synthesis
  • Demonstrated experience supervising students and/or staff

Hours & Compensation:

  • Salary: $65,000 minimum dependent on qualifications and experience
  • 40 hours / week
  • Location: Hybrid or remote – work arrangement will be confirmed upon hire

How To Apply:

For a full job description and to apply, please visit the official job posting, linked here.

Review Date: April 1st, 2025