The McMaster University Library and Sherman Centre for Digital Scholarship are searching for a Data Analysis and Visualization Librarian—a new and continuing position at the rank of Librarian I. Please share with anyone you think may be interested.
For full information on this position, please visit https://u.mcmaster.ca/mul-dataviz-lib or contact me directly with any questions or referrals.
Job Title: Data Analysis and Visualization Librarian
Salary Grade/Band: Level 1
Department: Digital Scholarship Services / McMaster University Library
Close date: 06/27/2021
Position Description: The Data Analysis and Visualization Librarian is a key contributor to the advanced research support mission of the McMaster University Library (MUL) and the Lewis and Ruth Sherman Centre for Digital Scholarship (SCDS). Individually and in collaboration with SCDS colleagues, the librarian develops, coordinates, and supports services and programs that advance knowledge and skills related to quantitative and qualitative data analysis, data visualization, knowledge mobilization, and general digital fluency for McMaster students, staff, faculty, and community members. As a member of the SCDS, the Librarian supports research by developing and delivering training sessions and programs, providing project consultation support to researchers, and collaborating on research projects when appropriate. The librarian will share a commitment to equity, diversity, and inclusion and lead efforts to expand and increase the SCDS’s connections and partnerships with communities beyond McMaster.
Representative Duties & Responsibilities:
- Contributes actively to the shared missions of MUL’s Digital Scholarship Services Division and the SCDS by delivering instruction, services, and programs that advance the data, analytical, and digital fluency of McMaster students, staff, faculty, and community members.
- Provides leadership for data services in one or more areas of data specialization such as quantitative data, qualitative data, data visualization, data sciences, etc.
- Develops and reports on assessment measures for services.
- Consults with faculty, students, staff, and community members on projects involving data-intensive quantitative and qualitative research methodologies, research tools, and approaches (e.g., data collection and preparation, computational data analysis, machine learning) in a variety of fields, and/or data visualization as a means of research dissemination and digital storytelling to specialist and public audiences.
- Supports SCDS-related research projects by participating in grant applications, research design, data analysis, and dissemination of results (including peer-reviewed publications).
- Collaborates with course instructors and Library staff to create and deliver instructional sessions and related assignments that develop student familiarity and skills with analytical approaches and visualization in a variety of disciplines.
- Implements elements of instructional assessment to review and refine offerings.
- Develops and delivers synchronous workshops, instructional sessions, and asynchronous learning modules related to methodologies and software-based approaches to data collection, cleaning, transformation, analysis, and visualization at introductory, intermediate, and advanced levels.
- Leads and collaborates on special projects and important initiatives within MUL; assists MUL staff with data analysis and visualization needs.
- Initiates and contributes to data, statistics, and visualization projects in multiple disciplines with partners from MUL, the Health Sciences Library, McMaster, and/or the broader community.
- Keeps current of new approaches and emerging areas of interest and innovation on campus and in the field; communicates developments to colleagues and integrates them into services, support, and instruction activities.
- In coordination with colleagues across the McMaster University Libraries, supports the organization’s data services, as well as initiatives related to research data management, open scholarship, and research impact analysis.
- Engages, builds partnerships, and liaises with academic programs involved in data-related research and instruction. Participates in collection development activities for datasets and related materials. Actively engages in conversations and forums around data analysis and visualization on provincial, national, and international level.
- Chairs or serves as a member on library and university committees, task forces and projects aligned with position responsibilities.
- ALA-accredited Master of Library & Information Science degree, or equivalent.
- 0-3 years of experience.
- Demonstrated experience with data visualization software such as Tableau, D3, PowerBI, Excel, Gephi, etc. required.
- Experience teaching across different disciplines required.
- Experience or knowledge of related data and analytical approaches including: Data cleaning, Geographic Information Systems (GIS), and research data management (RDM).
- Demonstrated knowledge and practical experience with a variety of analytical and statistical methodologies.
- Experience conducting or supporting academic research and knowledge of the academic research process. Strong written and oral communication skills and the ability to develop clear, concise, accurate technical and user documentation.
- Ability to work cooperatively and collegially at all levels in a culturally diverse and rapidly changing environment and a proven record of successful collaboration.
- Ability to work independently and effectively with technology in a fast-paced environment while managing competing priorities.