Research Data Management Specialist


Princeton University seeks an innovative and collaborative individual to provide consultative data management expertise to the Princeton research community, including partnering with researchers in preparing and uploading digital research data and in engaging in data management, retention, and curation practices. The research data specialist also contributes to the development and implementation of a data management training program to support researchers throughout the University and across the research lifecycle. Reporting to the Director of the newly launched Princeton Research Data Service, this position is part of a team that is building a new, forward-looking research data service oriented toward Open Research goals, working to ensure consistent and effective practices related to the creation, organization, stewardship, curation, storage, and access to digital research data. This newly created position also provides researchers with research data sharing and archiving solutions, and partners with them in both formulating and implementing data management plans and applications for research funding.

Princeton University Library, one of the world’s leading research libraries, has a dedicated, knowledgeable staff of 300 in a large central library, 9 specialized branches and 3 storage facilities. PUL supports a diverse community of 5200 undergrads, 2700 graduates, 1200 faculty, and many visiting scholars. Holdings include more than 7 million printed volumes, 5 million manuscripts, 2 million non-print items, and extensive collections of digital text, data and images. Further info:

Provide researchers with expert advice on a range of topics that support best practices throughout the research lifecycle, including evaluation of data planning needs, assessing options for sharing data, and planning to specific granting agency or publisher requirements.Partner with stakeholders to develop new research data management tools and services. Proactively collaborate and coordinate to implement data management and sharing strategies, including coordinating data deposits with researchers, curating research data, and preparing collections for archiving. Develop and deliver data management training programs, including in-person and online training materials and resources. Work with multiple partners across campus to effectively communicate services to faculty, researchers, and departments.Track specific scientific and subject-domain areas to build and maintain knowledge and expertise in data types, standards, formats, and needs within domains that support data management and sharing throughout the research lifecycle.Qualifications

A Masters or Ph.D. in any research-focused field, including but not limited to data sciences, informatics, natural sciences, social sciences, engineering, or humanities A minimum of three (3) years combined of library, information technology, informatics, and/or research experience in the sciences, social sciences, engineering, or humanitiesExperience with one or more components of the research data life cycle: creating, processing, analyzing, preserving, providing access to, and re-using dataExperience with conducting training, teaching, and/or workshop presentationsMust be self-motivated, proactive, willing to take on new challenges and solve problems with minimal supervisionSuperb relationship building and interpersonal skills, strong team-orientation, and professional attitudeExcellent verbal and written communication skillsPreferred qualifications:

Experience with and knowledge of best practices for research data management and/or data curation and archiving Experience with standard packages or statistical languages for working with data, such as R, SPSS, STATA, MATLAB, Python, etc.Experience with developing new training or workshop materials Knowledge of the Open Science Framework (OSF), Electronic Lab Notebooks (ELNs), or other platforms for collaborative research Experience working with large and/or complex data sets and/or high performance computingKnowledge of methods and best practices for the curation of software and research code

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW


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