Data Services Librarian

Code4lib

Boston (MA)

On-site

USD 55,000 - 75,000

Full time

14 days+

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Job summary

Code4lib is seeking a Data Services Librarian to join Boston College Libraries' Digital Scholarship Group. The role focuses on designing initiatives, managing data services, and providing training. Collaborating with faculty and students on data-driven projects is essential. Candidates must have a master's degree in Library and Information Science and 2-3 years of relevant experience.

Responsibilities include data curation, consultation, and training, with preferred skills in handling big data and GIS technologies.

Qualifications

Master’s degree in Library and Information Science or a closely related, data-intensive research field.
2-3 years of relevant experience.
Experience in providing data consultation, curation, management, cleaning, and mining services.

Responsibilities

Design and drive initiatives related to data gathering and management.
Consult on faculty and student data-driven projects.
Provide data skills training on data manipulation and management methods.

Skills

Data consultation

Data curation

Data management

Excellent written and oral communication skills

Education

Master’s degree in Library and Information Science

Tools

Python

GIS technologies

Job description

Description

Boston College Libraries are seeking a Data Services Librarian to join our Digital Scholarship Group (DSG). As a member of the DSG, the Data Services Librarian collaborates on designing and driving initiatives, providing current services, and is a valued voice in DSG strategic planning. This position is highly collaborative within the DSG, throughout the Libraries, particularly in the cohort (which consists of the DSG, instruction team, and subject liaisons), and across campus. It is also a major contributor to department outreach efforts and relationship‑building. Visit the posting on our department website to see an FAQ.

The Data Services Librarian is primarily responsible for DSG collaborations and services related to data gathering, manipulation, management, curation, documentation, and skills training. Such activities include consulting on faculty and student data‑driven projects; providing data skills training on data manipulation and management methods, best practices, and tools to faculty and staff; providing data skills instruction for undergraduate and graduate courses; and driving library‑based curricula development (i.e., library instruction and modules) and resource creation/collection for data‑centric and data science programs.

A large component of this position will involve working closely with a fellow Data Services Librarian and the DSG head on endeavors to grow existing data services and find new ways for the BC community to engage with data critically. It is important that the person in this role is comfortable working across disciplines with a range of data types, including economic and business‑related data, which is in high demand from our Economics and Carroll School of Management students.

Requirements

A master’s degree in Library and Information Science or a closely related, data‑intensive research field, plus 2‑3 years of relevant experience
Demonstrated experience in
- Providing data consultation, curation, management, cleaning, and mining services;
- Using data and related technologies to support teaching or research;
- Working with numeric data in an academic, scientific, or corporate environment
The ability to engage with research across a variety of disciplines, including economics and business, and a range of audiences, from undergraduate and graduate students to faculty and staff
Excellent written and oral communication skills

Preferred

Experience working in academic libraries;
Experience working with big data, survey microdata, text data, or similarly complex data;
Experience working with library data resources, data subscription platforms (like WRDS), and publicly available data (like FRED)
Knowledge of geospatial data and GIS technologies;
Demonstrated experience in
- Providing data skills training and classroom instruction (oral, written, and video tutorials, etc.);
- Data visualization and communication;
- Data cleaning, creation, and analysis using coding languages such as Python or R;