Research Information Services Analyst (Librarian II)

Description

The Research Computing Division strives to be at the forefront of driving scientific discovery through cutting-edge computational tools and resources to ensure our talented scientists and engineers are equipped with the everything they need to accelerate groundbreaking research. From Web Development and High Performance Computing to Machine Learning environments, Research Computing is the backbone of innovative research.

As we navigate the future, Research Information Management stands pivotal. We're shaping an integrated Information and Data Management capability, weaving together a cohesive web of research information from proposal inception to publication and beyond. Joining our Research Information Services team means diving deep into this ecosystem, bridging the gap between technology and information dissemination.

To continue supporting this exciting work, we are actively recruiting a highly motivated, service-oriented individual for the role of Research Information Services Analyst. The selected candidate will play a significant role in supporting PNNL’s publishing goals and public access requirements. We are looking for someone with technical acumen complemented by a genuine enthusiasm for working collaboratively, sharing knowledge, and delivering quality information services to help drive PNNL’s knowledge dissemination strategies, amplifying the reach and accessibility of our scientific endeavors. They will work hand-in-hand with a diverse research community, offering insights, training, and support, and they will help us shape the future of scholarly communication, from open-access initiatives to cutting-edge data sharing practices.

Responsibilities:

• Engage and collaborate with researchers to foster best practices for disseminating PNNL research outputs, ensuring alignment with DOE public access requirements and organizational publishing goals.
• Craft and deliver dynamic educational programs, catering to the needs of our multidisciplinary research community.
• Provide support for library digital collections to enhance connectivity across scientific outputs, including the Library ERM (Ex Libris Alma) and other tools that enhance researcher productivity and drive networked science.
• Collaborate across the division, directorate, and lab to create innovative ways for sharing research products using digital technologies.
• Participate in ongoing digital transformation within our division and group through innovation and support of technical and social solutions that support sharing of research products and outcomes.
• Promote and represent Research Computing, our group, and our teams across withing the lab and when representing PNNL in external professional venues.

Qualifications

Minimum Qualifications:

• MS/MA or higher in Library and Information Sciences, Knowledge Management, or similar, and 1 year of relevant experience

Preferred Qualifications:

• 2+ years supporting scientists and engineers at a research institution (government/academic/corporate)
• Knowledge of scientific research processes and the ability to assist researchers navigating scientific information, including research data.
• Experience with citation databases, scientific literature collections, citation management tools, and other platforms or services commonly used by researchers to find and manage information.
• Demonstrated information/data literacy and consultation skills and ability to deliver effective presentations and workshops to varied audiences, including researchers, managers, and other stakeholders.
• Solid understanding of current and emerging trends in open access publishing, open science practices, and other scholarly communication topics.
• Demonstrated experience with library systems, including ERM (Ex Libris Alma preferred), catalog and repository systems, and relevant metadata schema/standards.
• Experience with data analytics and delivering professional, insightful reports; knowledge of PowerBi/Tableau or similar platforms desired.
• Collaborative spirit, coupled with adaptability in evolving priorities and rapidly shifting technical environments.
• Additional preference for:
  • Background in Biosciences.
  • Knowledge of basic programming/scripting concepts, APIs, and data cleaning tools such as OpenRefine/GoogleRefine.

NOTE: Ideal candiate would be willing to re-locate to the Tri-Cities area in Washington State - we perfer to have someone on campus.  2nd best would be someone who living in a nearby community (Seattle area, Spokane WA, or Portland, OR for example) and could drive a few hours when needed to be on-site for large meetings or events.  

Also, job is posted with an hourly salary on our website.  Salary listed here is the annualized amount for the hourly range listed on the posting.