Research Data Management Specialist
Overview
seeks a collaborative and service-oriented Research Data Management Specialist to support the Princeton research community in managing, curating, and sharing research data across the research lifecycle. Reporting to the Head of the Princeton Research Data Service (PRDS), this position is part of the Data, Research, and Teaching Services division and plays a key role in advancing open research and data stewardship at Princeton.
The Research Data Management Specialist works closely with PRDS colleagues and campus partners to provide expertise in research data management (RDM), metadata practices, and data curation. The role includes supporting TigerData infrastructure and users, delivering instruction and consultations, and developing services and programming that promote effective and responsible data management. The position engages with faculty, students, and research staff across disciplines and contributes to institutional and community efforts to improve data practices and accessibility.
Responsibilities
Core responsibilities include providing research consultations, instruction, and outreach related to research data management and open data; developing and delivering workshops and educational programming; serving as a liaison; and engaging with campus and external communities.
PUL is one of the world’s leading research libraries, with over 300 staff and several specialized branches, supporting a diverse community of 5,500 undergraduates, 3,100 graduate students, 1,200 faculty members, and many visiting scholars.
Qualifications
- A minimum of 5 years combined of library, information technology, informatics, and/or research experience
- Experience with developing and conducting training, teaching, and/or workshop presentations
- Strong technical skills with a high degree of comfort and willingness to learn new technologies and develop skills in others
- Experience with and knowledge of methods and best practices for research data management and/or data and code curation and archiving
- Experience working with research data infrastructure (eg., data repositories, high-performance computing, data storage systems) and large and/or complex data sets
- Experience creating and/or reviewing data management plans
- Must be self-motivated, proactive, and willing to take on new challenges and solve problems with minimal supervision
- Excellent organizational skills, interpersonal and collaboration skills, and a collegial, team-oriented approach
- Excellent communication skills
The work location for this position is in-person on campus at Princeton University.
Review begins: July 6, 2026
Princeton University is an Equal Opportunity 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.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
Standard Weekly Hours
36.25
Eligible for Overtime
No
Benefits Eligible
Yes
Probationary Period
180 days
Essential Services Personnel (see policy for detail)
No
Physical Capacity Exam Required
No
Valid Drivers License Required
No
Experience Level
Mid-Senior Level
#LI-NC1
Salary Range
$83,000 to $98,000
Equal employment opportunity, including veterans and individuals with disabilities.
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