Research Data Management Consultant

Description

Carnegie Mellon Faculty Position: Research Data Management Consultant

Deadline: Applications received by November 15, 2018 will be given first consideration. 

Date Posted: October 11, 2018

Join us in building a 21st century library at the heart of research and teaching. Carnegie Mellon University (CMU) is home to world renowned faculty leading the way in their fields with state of the art, interdisciplinary research and an emphasis on training the next generation of innovators. The library, as highlighted in university's strategic plans, aspires to become a central hub of research support services and infrastructure. We seek an engaged professional with research experience who will reach out to faculty and students and work collaboratively to develop and lead library services in research data management to meet the needs of the university.

We invite applications for a service-oriented, technically skilled professional who thrives in a creative, agile work environment. Candidates for the Research Data Management Consultant role should have a strong understanding of academic research, knowledge of the research life cycle, and should be highly motivated to develop collaborative relationships both within the University Libraries and across campus. The consultant role is a faculty position in the University Libraries and provides services and support directly to researchers as well as in partnership with library faculty and staff.

We are especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service, and have a demonstrated record in working with international and underrepresented populations.

Under the leadership of the Associate Dean of Innovation, Preservation, and Access, this position will:

●      Acquire and maintain expertise in information trends within research data management, digital curation, data science, and related areas.

●      Develop innovative services and resources to support research and teaching including in the areas of research data management, research tools and workflows, data sharing, and open science.

●      Track funder and publisher mandates for data management, data sharing, and open access.

●      In collaboration with the libraries’ liaison librarians, provide data management and Data Management Plan consultations as well as research data services more generally.

●      Lead the university’s instance of DMPTool and further develop the scope of this resource.

●      Develop and implement strategies at the library and university levels for a sustainable approach to supporting research life cycle management and public access to products of research including data and software.

●      Teach workshops and trainings on research data management best practices and digital research tools to both the campus and library communities.

●      As a member of the Research Data Services (RDS) team, jointly provide expert consultations on topics related to research data and methods and assist in the support of research tools including Open Science Framework, Overleaf, Mendeley, figshare, elements, altmetrics, ORCID, and electronic lab notebooks.

●      Work closely with other members of the RDS Team, which is comprised of experts in scholarly communication, open science, metadata, digital curation, data science, and disciplinary research workflows, to build and support RDM services and infrastructure.

●      Provide input and guidance on research repository workflows and data policies and assist directly with data deposits in occasional, complex cases.

●      Partner with liaison librarians to serve the research needs of specific disciplines.

●      Build relationships and collaborations with other units across the university who are involved in research, including the Office of the Vice Provost for Research, Office of Sponsored Programs, Office of Research Integrity and Compliance, Computing Services, Risk Management, the Institutional Review Board, and the Information Security Office.

●      Communicate with and conduct outreach to faculty and students across campus to understand their needs, build collaborations, and promote library services.

Research Data Management Consultant is a faculty position under Carnegie Mellon’s Policy on Librarian and Archivist Appointments. You will be expected to meet criteria for reappointment and promotion in the areas of librarianship and archival work; research, scholarly, or artistic activities; and service to the library, the university, and the profession. For more information, please visit: https://www.cmu.edu/policies/faculty/appointments-librarian-and-archivist.html.

Qualifications:

Required

●      Ph.D. in a science or social science discipline or a MLS/MLIS from an ALA-accredited institution
●      Experience conducting academic research in a discipline or field that is well established at CMU (relevant research experience in industry or government also considered)

●      Research data management training or experience

●      Awareness of the research funding and scholarly communication landscapes and their relationship to the research life cycle

●      Ability to provide expert guidance in research data management and form collaborations to support this component of research projects

●      Basic understanding of programming languages commonly used in research such as R, Python, javascript, MatLab, or C/C++

●      Ability to work with diverse stakeholders to build programs and initiatives

●      Excellent organizational, communication, and presentation skills

●      Strong interpersonal skills with the ability to effectively interact with diverse groups including colleagues, faculty, staff, students, and administrators

●      Demonstrated ability to work independently and as part of a team

●      Dedication to professional development including development of a personal program of research and scholarship

Preferred

●      Experience providing research services in an academic library setting

●      Experience managing, analyzing, or working with complex research data

●      Experience with new technologies, tools, and trends in digital research

●      Knowledge of informatics or data science tools (e.g., Jupyter Notebook, GitHub, Docker) and methods (e.g., machine learning)

●      Knowledge of technical computing infrastructure

●      Experience using or teaching programming languages commonly used in research such as R, Python, javascript, MatLab, or C/C++

●      Knowledge of data standards, database structures, metadata standards, or digital preservation

Preferably, a successful candidate would be in place in early 2019 for the spring semester.

This position requires a background check.  

Please include your resume/CV, a letter of interest, and contact information for three references. Questions may be directed to Nikhil Shirali at nshirali@andrew.cmu.edu.

Women and members of traditionally underrepresented groups are particularly encouraged to apply. Carnegie Mellon University is an Affirmative Action/Equal Opportunity Employer M/F/V/D. 

To apply, please visit:  https://apply.interfolio.com/56470