https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Text-Mining-Specialist_R118722?shared_id=530c512c-f90a-4590-95ef-0c8811c96da1

Text Mining Specialist

Do you enjoy analyzing text sources to reveal new patterns and insights? Do
you get excited about helping people tell compelling stories with data? We
might just have the job for you! The Northeastern University Library seeks
a service-oriented, self-motivated Text Mining Specialist to lead and grow
the library’s suite of programming and services related to web scraping and
text analysis.

About the Opportunity

Reporting to the Head of Research Data Services, the Text Mining Specialist
(salary range $56,835-88,095) works closely and collegially with fellow
Research Data Services team members and others inside and outside the
library to a) identify existing support and research needs across the
University, and b) develop a broad and deep range of services and
initiatives to meet those needs and promote the acquisition of text
analysis skills. The Specialist possesses expertise in text analysis
techniques and is adept at applying those concepts and methods to the
interests of faculty, staff, and students, regardless of their subject area
or skill level.

Specific Responsibilities

The Specialist:

·Serves as a consultant for research and curricular projects that require
skills related to manipulating, analyzing, customizing, querying, and/or
visualizing text data.

·Creates and delivers training on text analysis and related topics suited
to audiences at various levels of experience.

·Trains and mentors colleagues and/or student workers to provide first-tier
support and services.

·Serves as a focal point for activities at the University related to text
analysis and web scraping, bringing the diverse community together for
discussion and collaboration.

We welcome applications from candidates who meet some of our qualifications
and have a strong interest in developing their skills. We expect this
position to be an ongoing learning experience and are dedicated to
supporting professional development for all library staff members. We also
seek colleagues who are committed to building an inclusive and diverse
working environment and who have been and remain underrepresented or
marginalized in the field of librarianship – including but not limited to
people of color, LGBTQ+ people, individuals with disabilities, and
applicants from lower-income and first-generation academic backgrounds.
—
Matthew K. Gold, Ph.D.
Director, M.A. Program in Digital Humanities (http://www.gc.cuny.edu/dh) & M.S.
Program in Data Analysis and Visualization (http://www.gc.cuny.edu/datavis)
/
Associate Professor of English & Digital Humanities /
Advisor to the Provost for Digital Initiatives, CUNY Graduate Center
http://mkgold.net | @mkgold

*pronouns: he/him/his*

https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Text-Mining-Specialist_R118722?shared_id=530c512c-f90a-4590-95ef-0c8811c96da1

Text Mining Specialist

Do you enjoy analyzing text sources to reveal new patterns and insights? Do
you get excited about helping people tell compelling stories with data? We
might just have the job for you! The Northeastern University Library seeks
a service-oriented, self-motivated Text Mining Specialist to lead and grow
the library’s suite of programming and services related to web scraping and
text analysis.

About the Opportunity

Reporting to the Head of Research Data Services, the Text Mining Specialist
(salary range $56,835-88,095) works closely and collegially with fellow
Research Data Services team members and others inside and outside the
library to a) identify existing support and research needs across the
University, and b) develop a broad and deep range of services and
initiatives to meet those needs and promote the acquisition of text
analysis skills. The Specialist possesses expertise in text analysis
techniques and is adept at applying those concepts and methods to the
interests of faculty, staff, and students, regardless of their subject area
or skill level.

Specific Responsibilities

The Specialist:

·Serves as a consultant for research and curricular projects that require
skills related to manipulating, analyzing, customizing, querying, and/or
visualizing text data.

·Creates and delivers training on text analysis and related topics suited
to audiences at various levels of experience.

·Trains and mentors colleagues and/or student workers to provide first-tier
support and services.

·Serves as a focal point for activities at the University related to text
analysis and web scraping, bringing the diverse community together for
discussion and collaboration.

We welcome applications from candidates who meet some of our qualifications
and have a strong interest in developing their skills. We expect this
position to be an ongoing learning experience and are dedicated to
supporting professional development for all library staff members. We also
seek colleagues who are committed to building an inclusive and diverse
working environment and who have been and remain underrepresented or
marginalized in the field of librarianship – including but not limited to
people of color, LGBTQ+ people, individuals with disabilities, and
applicants from lower-income and first-generation academic backgrounds.
—
Matthew K. Gold, Ph.D.
Director, M.A. Program in Digital Humanities (http://www.gc.cuny.edu/dh) & M.S.
Program in Data Analysis and Visualization (http://www.gc.cuny.edu/datavis)
/
Associate Professor of English & Digital Humanities /
Advisor to the Provost for Digital Initiatives, CUNY Graduate Center
http://mkgold.net | @mkgold

*pronouns: he/him/his*

[Greet Van Belle]

Hi Matt,
When reading this job description, I cannot but think of how Gen AI may impact this kind of work. I’m hoping we will get a proposal about it for the CUNY IT Conference!
All best!
Greet

Greet Van Belle, PhD | Director, Center for Teaching, Learning and Educational Technologies (CTLET) | CUNY York College | 718-262 2810 | Find me in Teams as greet.vanbelle00 | Schedule a meeting with me using Bookings(https://outlook.office365.com/owa/calendar/[email protected]/bookings/)

From: Matthew K. Gold (Digital Humanities Initiative) <[email protected]>
Date: Wednesday, September 6, 2023 at 5:17 PM
To: Greet Van Belle <[email protected]>
Subject: Job: Text Mining Specialist, Northeastern