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Data Services Librarian

Data Services Librarian

NYU Langone Health Job Location: New York Apply By: 03/02/2020 Date Created: 01-14-2020

Data Services Librarian The NYU Health Sciences Library welcomes applicants for the position of Data Services Librarian, a faculty appointment in the NYU Grossman School of Medicine. Entry-level and early career librarians are encouraged to apply. The Data Services Librarian will develop new classes/workshops and provide classroom-based, small group, and individual data trainings, including but not limited to research data management. The successful candidate will also contribute to data service development, dependent on library needs and the candidate’s interest and expertise. Potential topics for class development or support services include: data cleaning, reproducibility, coding, data standards, data preservation, data finding, quantitative or qualitative data analysis, and data/text mining. The Data Services Librarian will also be expected to present and publish on library service development and/or research. Additional responsibilities include serving on library and medical center committees or task forces as appropriate. The successful candidate will be self-motivated and collaborative, capable of working in a highly flexible environment to build partnerships with new user communities and develop new services. This position joins the library’s nationally recognized data services team. The team provides education and consultations in a wide range of areas, including data management, data visualization, and reproducibility. The team also maintains the NYU Data Catalog and participates in national collaborations related to data sharing and discovery. The successful candidate 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. Responsibilities
  • Develop educational materials and provide classroom-based, small group, and individual data management training
  • Work in other data-related areas dependent on library needs and candidate’s interest and expertise
  • Support the library’s vision, mission, and strategic goals
  • Provide assistance to users via the library’s ticketing system, email, in-person, and virtual consultation
Requirements
  • Master’s degree in library/information science or related field, or another relevant advanced degree
  • Formal or informal teaching experience, either group or one-on-one
  • Knowledge of the biomedical research data management landscape
Preferred
  • Experience providing research data management support
  • 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 welcome to apply. How to Apply Applicants should apply at apply.interfolio.com/72906 Applications will be accepted until March 2, 2020. 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.            

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