NYU Health Sciences Library welcomes applicants for the position of Data Services Librarian, a faculty appointment in the NYU School of Medicine.
The Data Services Librarian will develop new curricula and provide classroom-based, small group, and individual data management training, with a focus on the clinical research population. In addition, the position would include data-related service development in other areas, dependent on library needs and the candidate’s interest and expertise. Possibilities include developing curricula or support services related to: quantitative or qualitative data analysis, data cleaning, reproducibility, research metrics, coding, data standards, data preservation, metadata, data finding, or data/text mining.
The Data Services Librarian will also be expected to conduct and present library research based on services developed in their role. Additional responsibilities include serving on library and medical center committees or task forces as appropriate.
The successful applicant will be someone with the ability to take advantage of a highly flexible work environment, build partnerships with new user communities, and develop new services. They will also have a demonstrated track record of self-motivated project/service development, strong interpersonal and collaboration skills, innovation, and a personal commitment to excellence. This position joins the Library’s innovative and collaborative data services team that is at the forefront of delivering data services in health sciences libraries. The team currently provides education and consultations in data management, visualization, and processing, and maintains the NYU Data Catalog. The successful candidate will be appointed at the Library Instructor level or Assistant Curator and will report to the Assistant Director, Research Data and Metrics.
NYU Langone Health is a world-class, patient-centered, integrated, academic medical center, and is one of the nation’s premier centers for excellence in clinical care, biomedical research, and medical education. The Health Sciences Library supports the mission and vision of NYU Langone Health through forging meaningful connections with our users, providing innovative services, a top-tier digital collection, user-focused spaces, and a strong commitment to excellence.
- Develop curricula and provide classroom-based, small group, and individual data management training
- Work in other data-related areas dependent on library needs / candidate’s interest and expertise.
- Work collaboratively and collegially with colleagues to support the Library’s Vision, Mission, and Strategic Goals
- Provide assistance to users via the Library’s ticketing system, email, and in-person and virtual consultation
- Master’s degree in library/information science or related fields or another relevant advanced degree (e.g. MPH)
- Teaching experience
- Knowledge of the biomedical research data management landscape
- Experience providing research data management support
- Knowledge of data standards
- Familiarity with clinical research methods
- Experience in a biomedical research environment
Compensation and Benefits
The NYU School of Medicine offers faculty a competitive compensation and benefits package covering health insurance, retirement benefits, time off, tuition benefits, wellness programs, and more. Salary is negotiable and commensurate with experience. The Health Sciences Library provides mentoring and support for research, scholarship and publication as part of our commitment to ongoing faculty professional development. Interested candidates from outside the New York City area are encouraged to apply.
How to Apply
Applicants should send a resume and letter of application to http://apply.interfolio.com/61928
Applications will be accepted until the position is filled.
NYU Langone Medical Center is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, military and veteran status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.