Data Literacies Lead job at Stony Brook University

Job Description

Data Literacies Lead

Location: Stony Brook University

Open Date: Mar 04, 2024

Deadline: Aug 28, 2024 at 11:59 PM Eastern Time

Description

This is a tenure track position. Internal/External posting.

Responsibilities & Requirements: We're looking for a creative, forward-thinking, and enthusiastic person with a strong background in data analytics or related skills to join our dedicated team of Academic Engagement library faculty. Reporting to the Head of Academic Engagement, the Data Literacies Lead is responsible for building a robust data literacies program with campus partners to meet the needs of evolving data science and AI-related learning and scholarship. The successful candidate will be expected to participate in faculty activities such as research and scholarship, faculty governance, and professional activities consistent with University standards for promotion and tenure. Specific responsibilities will include the following:

Developing and leading the instruction of data and statistical analysis, tools, methods, data visualization, and data management at the Libraries. This includes integrating these concepts into courses, conducting workshops, and utilizing online platforms.
Utilizing in-depth knowledge of software and specialized tools crucial for data science and digital projects, including GIS, text analysis, data mining, and emerging technologies.
Supporting students and faculty on the use of data and digital technologies in their research and learning activities
Building effective assessments for data literacies
Incorporating best practices to promote critical thinking about data literacies, and responsible digital citizenship in a culturally sensitive and inclusive manner that respects diverse backgrounds and perspectives

About the Libraries

The University Libraries are an essential partner in Stony Brook University's mission of global leadership in research, discovery, and learning, positioning ourselves as the hub of collaboration, digital innovation, open scholarship, and creativity. We provide the best possible access to a wide-range of resources in multiple formats and world-renowned special collections and actively contribute to student success and faculty productivity through teaching and research services in alignment with the University's strategic priorities. As the largest academic research library on Long Island, the Libraries serve as a vital resource for regional and global communities.

The University Libraries play a key role in advancing the University's commitment to furthering diversity, equity, inclusion, and accessibility in our spaces, collections, services, and outreach. We have a strong commitment to DEIA values in our hiring, training, and daily work practices where differences are acknowledged, respected, and celebrated. We welcome candidates who genuinely embrace the empathy, courage, self-reflection, and intentionality of a diverse and inclusive workplace to apply.

Required Qualifications:

Relevant advanced degree, master's or doctoral degree, (foreign equivalent or higher) with a combination of education and experience commensurate with the requirements of this position.
Sustained experience with data literacy, data management, and data analytics tools such as Excel, R, Python, and/or other specialized data/statistical analysis software.
Evidence of the ability to conduct and publish scholarly research.
Minimum of 3 years experience in data science, data analytics, and/or data literacy education.

Preferred Qualifications:

Demonstrated ability to incorporate educational technologies and learning theories in teaching environments.
Teaching experience in an academic setting.
Expertise in AI/ML techniques, tools, and frameworks.

Application Instructions

To apply, visit https://apptrkr.com/5079721.

Special Notes:

This is a tenure track position at the rank of Associate Librarian. Salary: $100,000 - $126,800 plus $3,087 location stipend

FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Internal and external search to occur simultaneously. Anticipated Start Date: July 1, 2024. The position will be posted for 6 months, with a priority deadline 30 days from posting.

Application Instructions:

All application materials must be submitted online and include;
Application letter explaining your qualifications, relevant experience, and commitment to diversity, equity, and inclusion.
Curriculum vitae.

For questions regarding this position, please contact Pamela Di Pasquale at pamela.dipasquale@stonybrook.edu

Stony Brook University is committed to creating and maintaining a workplace and educational environment that is safe, accessible, and free of all forms of discrimination, sexual misconduct or research misconduct, among other infractions. In support of this commitment, certain candidates for employment will be required to disclose such employment-related misconduct findings and pending investigations or proceedings, and final candidates for certain faculty and staff positions will authorize their current and previous employer(s) from the last seven (7) years to disclose such information to the University. A final offer may be contingent on the satisfactory outcome of this disclosure and review process. If the University becomes aware of a failure to disclose or misrepresentation of any such matter after your employment commences, you may be subject to discipline, up to and including termination.

The selected candidate must successfully clear a background investigation.

In accordance with the Title II Crime Awareness and Security Act, a copy of our crime statistics is available upon request . It can also be viewed online at the University Police website athttp://www.stonybrook.edu/police.

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information,veteran status and all other protected classes under federal or state laws.

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