They are: Northeastern University Library, an evolving research library with an ambitious vision to expand our digital initiatives and redefine library service in the 21st century through strong partnerships across campus, expanded collaboration in the classroom, continued growth of special collections tied to our Greater Boston communities, new services for creation across media formats, and the development of next-generation digital infrastructure to support these activities and more.

They seek out new tools and methods, test them on real-world projects, and make them available to the Northeastern community and beyond. They work every day to expand our understanding of digital scholarship, and help build it through the tools we provide to support Northeastern’s researchers.

You are: A Data Analytics and Visualization Specialist who will help mobilize and design Library services supporting statistics and information visualization activities across the University. You are excited to work with diverse groups within the Library and across campus, and proactive in outreach and communication. You are comfortable with providing many forms of education, from developing curricula and teaching classes to providing high-level research support in one-on-one consultations.

You are a collegial team member who will work closely with other departments within the Library, serving as a resource for statistics and visualization tools, services, and systems. You’re enthusiastic about the role of statistics and visualization in scholarship across the disciplines, and will develop both this position and the Library into focal points for statistics- and visualization-related activities across the University.

This position is in: the Digital Scholarship Group, an applied research group within the Library where we work with researchers at all levels on new techniques of representation, analysis, and dissemination that are transforming scholarly research.

Qualifications include:

•  Masters Degree in statistics, information design, or related discipline.
• Minimum of 3 years experience working in a data intensive environment, preferably in an academic setting.
• Working knowledge of major statistical software (SAS, STATA, SPSS, R).
• Experience with at least one programming language (such as C, C++, Java, JavaScript, Perl, Python, R).
• Experience with data visualization tools and with tool programming libraries.
• Ability to construct and automatically extract information from databases.
• Proven ability to manage multiple projects from beginning to end.
• Skills and aptitude for developing and providing workshops to users.
• Excellent interpersonal, marketing, and communication skills.

Please note: This is a two-year pilot position with opportunity for extension.

Applications will be reviewed as they are received; first consideration will go to those received by July 1, 2015.

To view the full job description, job grade and salary information, and apply, please visit: http://neu.peopleadmin.com/postings/35533