Evidence Synthesis Information Scientist

at Virginia Tech (view profile)
Published March 12, 2025
Location Blacksburg, Virginia, Virginia
Category Academic  
Job Type Full-time  
Apply Here https://careers.pageuppeople.com/968/cw/en-us/job/532611/evidence-synthesis-information-scientist
Cover Letter Requirements Required
Minimum Compensation in Local Currency $65,000 minimum dependent on qualifications and experience
Maximum Compensation in Local Currency $65,000 minimum dependent on qualifications and experience
Hourly or Salary? Salary

Description

Job Description-The Evidence Synthesis Information Scientist, reporting to the Assistant Director, Evidence Synthesis Services, will join the collaborative Evidence Synthesis Services team in supporting evidence synthesis research at Virginia Tech for Blacksburg, Roanoke, the National Capital Region, and other university locations and affiliates. 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